Enhancing Object-Based Production Conference Part 2

March 21-22, 2024, Tampa FL

Hosted by Celestar

The Enhanced Object-Based Production (EOBP) conference (website and speaker slides here) marked a significant collaborative effort by:

  • Celestar Corporation

  • The National Center for Ontological Research (NCOR)

  • Summit Knowledge Solutions

  • RTX Corporation

  • CUBRC

  • SAIC

  • Maxar Technologies

  • Sensepoint

  • Senior Government representatives.

With approximately 45 participants, the conference aimed to leverage Object Based Production (OBP), ontology, and Referent Tracking methodologies, to enhance intelligence workflows and data management strategies.

The event kicked off with presentations on foundational concepts such as the Basic Formal Ontology (BFO), led by John Beverley, assistant professor at the University at Buffalo and co-director of NCOR, who emphasized the critical role of interoperability and data integration. Barry Smith, professor of the University at Buffalo and co-director of NCOR, explored Referent Tracking, a precise methodology for tracking entities across data sets, which underpins reliable data referencing and interoperability. Jim Tuson discussed the nuances of OBP, which focuses on the systematic handling of objects of interest to streamline intelligence processes.

The afternoon sessions delved deeper into Object Based Intelligence and Production (OBI/OBP) with John Sweet providing insights into how real-world objects are encapsulated within databases to bolster intelligence analysis. Forrest Hare followed with a discussion on the challenges and solutions related to ’track’ and how to track objects in terms of space and time. The keynote by David Limbaugh underscored the potential of enhancing OBP through ontology-based approaches, proposing the adoption of realist ontologies to ensure data model precision and reusability.

Day two commenced with Mark Jensen discussing 'stasis' in the Common Core Ontology (CCO), which facilitates stability in data models amidst change, followed by Erik Thomsen's presentation on the significance of composable and strongly typed ontologies. These sessions highlighted the necessity for robust ontologies that can adapt to complex information challenges, enhancing knowledge management in intelligence operations.

The conference concluded with a discussion on the spatial modeling within an ontological frameworks by John Beverley, and a discussion on government data organization strategies, with notable presentations by Bill Mandrick and Ryan Riccucci. Mandrick's talk suggested the inclusion of new terms to BFO and explored the taxonomy of functions, while Riccucci proposed more efficient data organization methods to alleviate government field action costs.

This gathering not only fostered a deeper understanding of EOBP but also set the stage for continued advancements in integrating ontology with object-based production, aiming for enhanced methodological cohesion and efficiency in intelligence operations. Plans for a follow-up conference are already underway, promising further progress in these critical areas.

Common Core Ontologies Governance Board

The Common Core Ontologies (CCO) [1] have become, over the last decade, an increasingly important resource for the U.S. Government. This mid-level ontology suite is currently used by dozens of organizations and deployed in critical systems in active operation. To date, CCO has been developed and maintained by Ron Rudnicki and the ontology team at CUBRC, Inc., who have overseen successive releases of CCO that have always sought to meet the needs of a growing number of end users. Through the ingenuity and discipline of this team, CCO has remained a touchstone for ontology development, reducing the time needed to develop jointly interoperable high-quality domain ontologies aligned to Basic Formal Ontology (BFO). As a result, CCO has continued to receive greater adoption, and will become a central component of the DoD IC Ontology Foundry. In particular, both BFO and CCO have been directed for use in the communities as baseline standards for ontology development.

In recognition of the need for CCO to continue to scale and evolve, future releases of CCO will be overseen by The Common Core Governance Board, which will have an established charter and bylaws and will be composed of representatives from stake-holder organizations who have been involved in CCO development through the past decade. Initial members will include:

This board shall be charged with ensuring that CCO is openly available, well-maintained, responsive to user needs and technological and theoretical changes, and independent of any undue influence imposed by a single project or organization. Additionally, the board will pursue:

  • funding for maintenance and development of CCO

  • ensuring that CCO is adopted as an IEEE standard mid-level ontology

  • creating a developer’s group for CCO that is empowered but subject to clear oversight

  • organizing conferences, virtual meetings, and so on in service of the CCO community

  • maturing CCO’s release process and associated documentation

  • encouraging academic research and the creation of robust, re-useable domain ontologies under CCO

  • stabilizing CCO to ensure future releases are transparent and mindful of impacts on end users

  • coordinating with The Industrial Ontology Foundry, The Open Biomedical and Biological Ontology Foundry, and The DoD-IC Ontology Foundry

  • ensuring that CCO is responsive to the needs of U.S. Government stakeholders

[1] https://github.com/CommonCoreOntology/CommonCoreOntologies

2024 Enhanced Object-Based Production Conference

The 2024 Enhanced Object-Based Production Conference will be held in Tampa, Florida on March 21-22.

Enhanced Object-Based Production (EOBP) is a data structuring methodology that focuses on organizing information around any "Portion of Reality" (POR). It is based on a solid foundation of ontology and semantics, allowing for structured and meaningful categorization of data.

The event will be hosted by Celestar Corporation, in coordination with the University at Buffalo and the National Center for Ontological Research

Further details about the scheduled talks, hotels, venue, and operations committee can be found here.

Specter of Artificial General Intelligence

In a recent post, Daniel Kelly - UB Director of Administration and Strategy - highlights the work of my colleague Barry Smith and his Senior Research Associate Jobst Landgrebe in their 2023 book titled “Why Machines Will Never Rule the World: Artificial Intelligence Without Fear”. Kelly takes a sobering view of the prospects of general artificial intelligence, observing “There has never been a better time to focus on developing the moral compasses of each and every student so that they are adequately capable of ethically operating and utilizing the increasingly potent tools that will be available to them.”

What goes for our students goes equally well for us old dogs who find themselves learning new tricks.

The Importance of Interoperability in Ontology: Case Study on DBpedia

Author: Carter-Beau Benson

Semantic interoperability streamlines our ability to process and analyze vast data sets and creates a unified and efficient approach to understanding the information. This article sheds light on the significance of interoperability and reveals the potential pitfalls of a crowd-sourced resource like DBpedia, with a particular focus on how sports players are connected to teams across different sports.

DBpedia: Linked Data Powered by Wikipedia

DBpedia is a community-driven project that extracts structured information from Wikipedia and makes it freely available on the web, thereby transforming it into a resource that can be queried and linked to other datasets. DBpedia serves as a semantic layer over Wikipedia, converting human-readable content into a machine-readable format. This semantic layer is constructed using RDF (Resource Description Framework) technology and is queryable using the SPARQL query language. The relationship between Wikipedia and DBpedia is akin to that of a source and its structured reflection; while Wikipedia provides the raw, textual information, DBpedia organizes this information into categories, relationships, and other semantic constructs. This structured data allows for more sophisticated queries and facilitates interoperability with other semantic web technologies.

Unlocking Sports Trivia with Immaculate Grid…Kinda…

Immaculate Grid is a unique sports trivia game from Sports Reference that challenges players to flex their sports knowledge in an interactive way. The game consists of a grid where each square intersects a column and a row, each with its own criteria. Players are tasked with filling in these squares using a specific criteria that pertain to the column and the row, such as a team, an award, or a specific stat. DBpedia, which can be queried using SPARQL, can serve as a powerful resource for players looking to accurately fill in the squares on the Immaculate Grid while also achieving the highest rarity score, offering a data-driven approach to mastering the game.

Well, at least you’d think DBpedia would be a powerful resource for playing Immaculate Grid. There are challenges, however, stemming from the way players from different sports are connected to their respective teams:

  1. Baseball players are linked to teams using the dbp:teams relation, which is then followed by a string literal. For example, Babe Ruth has the object property dbp:teams that connect him to “The Boston Red Sox” and “The New York Yankees”.

  2. Basketball players are linked to teams using the dbp:team relation followed by dbr:Team_Name resource. For example, Magic Johnson has the object property dbp:team that connects him to dbr:Los_Angeles_Lakers.

  3. Hockey players are linked to teams using the dbp:playedFor relation followed by dbr:Team_Name resource. For example, Wayne Gretzky is connected to the teams he made appearances for by the property dbp:playedFor followed by dbr:Edmonton_Oilers; dbr:Los_Angeles_Kings; dbr:New_York_Rangers.

It's evident from these examples that, although the relation essentially conveys the same meaning—that a player plays for a certain team—the way it's represented varies dramatically across sports. This inconsistent representation is not just confusing but makes querying this data cumbersome and time-consuming.

To write a SPARQL query that returns a baseball player that played for both the Atlanta Braves and the Minnesota Twins, we can use the following query:

PREFIX prop: <http://dbpedia.org/property/>
SELECT ?player
WHERE { ?player dbp:teams ?teams.
FILTER(CONTAINS(str(?teams), "Atlanta Braves && CONTAINS(str(?teams), "Minnesota Twins"))}

This SPARQL query is designed to search for baseball players who have played for both the Atlanta Braves and the Minnesota Twins. What's unique about this query is that it's using string literals to search through the teams each player has been associated with. That means it's looking for specific text—'Atlanta Braves' and 'Minnesota Twins'—within the property that lists a player's teams. This is different from searching based on formal database identifiers or 'resources,' which would be the more typical way to make this kind of query. By using the “CONTAINS(str(?teams), "Atlanta Braves") && CONTAINS(str(?teams), "Minnesota Twins")” portion of the query, we can filter results to only include players who have both 'Atlanta Braves' and 'Minnesota Twins' as part of the string that describes the teams they've played for. It's a useful, albeit less precise, way to scrape this information from the database.

Now consider this SPARQL query that returns players that played for the Buffalo Sabres and Montreal Canadiens: 

PREFIX dbp: <http://dbpedia.org/property/>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?player ?playerLabel
WHERE { ?player rdf:type dbo:HockeyPlayer ;
dbp:playedFor dbr:Buffalo_Sabres ;
dbp:playedFor dbr:Montreal_Canadiens ;
rdfs:label ?playerLabel.
FILTER(lang(?playerLabel) = "en")}

Unlike the previous query which used string literals to search through teams, this query relies on formal database identifiers known as 'resources' to pinpoint the teams. Let's break it down:

  • ?player rdf:type dbo:HockeyPlayer: States that we are interested in entities that are of the type 'Hockey Player'.

  • ?player dbp:playedFor dbr:Buffalo_Sabres and ?player dbp:playedFor dbr:Montreal_Canadiens: Set the criteria for the teams the player must have played for. Notice how specific team identifiers (dbr:Buffalo_Sabres, dbr:Montreal_Canadiens) are used here, offering more precise results than string literals would.

  • ?player rdfs:label ?playerLabel: Fetches the label (usually the name) of the player.

  • FILTER(lang(?playerLabel) = "en"): Ensures that the label is in English.

By using specific identifiers for both the player type and the teams, the query benefits from the precise, interconnected nature of semantic web data, ensuring a higher level of accuracy in the returned results.

The hockey query demonstrates a more robust and precise approach compared to the baseball query by leveraging the formal identifiers and structured relationships inherent to semantic web data. Specifically, the hockey query uses 'resources' as database identifiers for both the player type and the teams, which allows for more accurate filtering. This enhanced accuracy is especially beneficial when considering historical nuances, such as team relocations or rebrandings. For instance, a query relying on formal identifiers could easily accommodate a player who had played for a team before and after it was relocated, thanks to the interconnected nature of semantic web data. Using the example of the Atlanta Braves, who were once the Milwaukee Braves, the value for dbp:teams as a resource could include historical data linking the two names. Thus, a player who played for both the Milwaukee Braves and the Minnesota Twins would still satisfy the query criteria, assuming the data model appropriately accounts for the Braves' history. This interconnected, historical awareness is something the string-based query would struggle to accommodate without manual adjustments.

The Ideal State of Affairs

In an ideal scenario, not only would the triple that connects a player to a team use a resource in the object place, but the connection between a player and their team would also be standardized across all sports. A unified relation would not only streamline the querying process but also ensure that data from multiple sources can easily be integrated and understood in a consistent manner. The Immaculate Grid sheds light on the necessity of such standardization. To write a SPARQL query that aligns with the varying relations, a querier must first navigate the maze of resources to pinpoint the right object property. Such a process is not only inefficient but also detracts from the primary goal of data analysis and interpretation.

DBpedia's crowd-sourced nature is both its strength and weakness. While it allows for a vast array of data to be collected and presented, it lacks the centralized oversight to ensure ontological consistency. Our example perfectly illustrates this challenge, where the same relation is defined in three separate ways.

Moral of the Story

Interoperability is not just a buzzword—it's an essential cornerstone for effective and efficient data management. Platforms like DBpedia can offer an invaluable resource to the global community, but without standardized ontological structures, their utility is compromised. With standardized relations, we can hope to achieve a seamless data analysis experience, where the primary focus remains on deriving insights rather than grappling with inconsistent terminologies.

Enhanced Object-Based Production Workshop

Enhanced Object Based Production Conference
June 21-22, 2023
SAIC, Arlington, Virginia

The Science Applications International Corporation (SAIC) recently hosted the Enhanced Object Based Production (EOBP) conference in Arlington, Virginia. The conference brought together faculty from the University at Buffalo working in the field of applied ontology, with members of the intelligence community and industry leaders for crucial discussions aimed at improving the methodologies and techniques of intelligence work. The primary objective was to foster the alignment of ontology development strategies with those of the Object Based Production (OBP) community.

The UB Department of Philosophy has for decades been a major player in the creation and dissemination of ontologies – logically well-defined controlled vocabularies of terms and relationships among them representing entities in a given domain – across government, academic, and industry spaces. The department is home to Dr. Barry Smith who is the creator of the Basic Formal Ontology, a top-level ontology architecture used by over 700 ontology projects internationally. Dr. Smith’s was joined by a number of UB-affiliated ontologists, including UB ontology graduate student Carter Benson (UB), who organized the event, and Dr. Werner Ceusters (UB) who is a lead figure in the field of Referent Tracking, an application of ontologies to tracking biomedical health records.

Representing OBP were pioneers of the field – Jim Tucson of SAIC and Geoff X. Davis of Celestar Corporation. OBP is a methodology used in the intelligence community that focuses on specific entities, known as "objects," as the core of information processing and analysis. These objects could be people, places, things, or any identifiable entities that intelligence officers are interested in. OBP offers several benefits. First, it simplifies complex data environments by focusing on the key entities. This makes it easier for intelligence officers to identify patterns, correlations, or unusual activities linked to these entities. Second, OBP allows for more efficient sharing of information, as data linked to specific objects can be readily exchanged between different teams or departments.

The conference name is meant to reflect the unity of applied ontology strategies following the design principles of BFO and Referent Tracking with those of OBP, resulting in Enhanced OBP (EOBP), understood as a sophisticated methodology for structuring data that allows centering of information using any portion of reality in the interest of improving provenance tracking. Consequently, EOBP touches on the questions of document reliability, evidence, and justification for use in decision-making.

Day one began with a deep dive into the foundational concepts of BFO led by Dr. Smith, which was followed by a detailed overview of Referent Tracking by Dr. Ceusters. Highlighting the first day was a keynote by Dr. Forrest Hare (Summit Knowledge Solutions), who shed light on the operational gaps within the intelligence community and how these can be addressed through the deployment of the Defense Intelligence Core Ontology (DICO), which is based on BFO and specific to content used across the defense and intelligence industry.

Day two of the conference saw discussions pivoting towards Provenance Ontology – a widely used ontology for representing tracking and origination of documents - and its mapping into BFO led by UB ontology graduate student, Austin Liebers. Here again Dr. Hare made an appearance by providing an overview of RDF STAR and its relationship to ontology development and EOBP. Subsequently, Dr. Smith presented work developed by Mark Jensen and Dr. David Limbaugh from the Calspan University at Buffalo Research Center, which further emphasized connections ontology representation strategies and EOBP, providing attendees a broader perspective on the subjects.

Attendees were also treated to an insightful presentation by Dr. Ryan Riccucci (Customs and Border Protection) who detailed the history of intelligence workflows from his experience with the Custom and Border Protection, followed by a call for the use of ontologies for addressing encountered challenges. Dr. Riccucci’s comprehensive presentation underscored the importance and potential applications of applied ontology and EOBP in modern intelligence operations.

The EOBP conference marked a substantial step towards wider adoption and implementation of applied ontology strategies combined with traditional object-based production within the intelligence community. The participants left with an in-depth understanding of the theory and practicalities of EOBP and its various aspects of ontology and applications in intelligence operations. Planning has, as a matter of fact, already begun for a follow-up conference to continue progressing on these important issues.

Carter Benson
Research Assistant, Department of Philosophy

Source: ...

Family Feud

One of the perks of being an assistant professor at UB is having the opportunity to listen to Barry Smith give entertaining, thought-provoking, talks. This semester, Barry delivered a talk to my Logic of Ontologies seminar, which is well worth a listen. By way of preface, a bit of back-and-forth:

Question: Name a technology that took the world by storm in 2023.
Answer: ChatGPT
Question: Name a quiz-style, American TV show hosted by Steve Harvey.
Answer: Family Feud
Question: Name a youtube video that combines absurd LLM responses and a persistent line of family feud inspired questions.
Answer:



Erdos Number Now with More Dijkstra!

I recently discovered I have an Erdos Number of 3, i.e. I’ve published with someone who is 2 removed from publishing with Paul Erdos, the “Oddballs oddball.”

The links are as follows:

  • John Beverley coauthored with Yang Wang

  • Yang Wang coauthored with Frank Hsu

  • Frank Hsu coauthored with Paul Erdös

The distribution of Erdös numbers looks like (from “Facts about Erdos Numbers”):

      Erdös number  0  ---      1 person
      Erdös number  1  ---    504 people
      Erdös number  2  ---   6593 people
      Erdös number  3  ---  33605 people +1 John Beverley
      Erdös number  4  ---  83641 people
      Erdös number  5  ---  87760 people
      Erdös number  6  ---  40014 people
      Erdös number  7  ---  11591 people
      Erdös number  8  ---   3146 people
      Erdös number  9  ---    819 people
      Erdös number 10  ---    244 people
      Erdös number 11  ---     68 people
      Erdös number 12  ---     23 people
      Erdös number 13  ---      5 people

I’ve also discovered that I’ve a Dijkstra Number of 4, through the following links:

  • John Beverley coauthored with Gilbert Omenn

  • Gilbert Omenn coauthored with Todd Smith

  • Todd Smith coauthored with Jayadev Misra

  • Jayadev Misra coauthored with Edsger Dijkstra

The above information all being pulled from co-authors.net.

Virus Infectious Disease Ontology

Read a draft of the full paper here.

Abstract: Information emerging from life science research has increasingly been recorded electronically and stored in databases. The sheer volume of data collected by researchers, the speed at which it is generated, range of its sources, quality, accuracy, and need for assessment of usefulness, results in complex, multidimensional, diverse datasets, often annotated in specific terminologies and coding systems by researchers in distinct disciplines. The resulting data silos undermine interoperability, meta-data analysis, reproducibility, pattern identification, and discovery across disciplines. The value of cross-discipline meta-data analysis is, however, evident in the present pandemic. Prostate cancer researchers have leveraged existing research on enzymes crucial in host cell penetration by SARS-CoV-2 to explain differences in disease severity across sex. Immunologists have combined insights from research on SARS-CoV-1 and MERS-CoV with chemical compound profile data, to identify drug and vaccine options for SARS-CoV-2. Pediatric researchers observing that children have fewer nasal epithelia susceptible to SARS-CoV-2 infection than adults, have suggested this difference partially explains symptom disparities between the groups. Researchers across the life sciences are recognizing the pressing need for coordinated data-driven efforts during the current crisis. 

            Shared, interoperable, logically well-defined, controlled vocabularies representing common entities and relations across life science disciplines facilitates data-driven insights across those disciplines. The present need for rapid analysis of evolving datasets representing coronavirus research motivates, moreover, the development of virus, coronavirus, and SARS-CoV-2 specific vocabularies. To these ends, we have developed the Virus Infectious Disease Ontology (VIDO; https://bioportal.bioontology.org/ontologies/VIDO) and the COVID-19 Infectious Disease Ontology (IDO-COVID-19; https://bioportal.bioontology.org/ontologies/IDO-COVID-19). Each is a structured vocabulary, with textual definitions for terms and relations, as well as logical axioms expressed in the OWL 2 Web Ontology Language (https://www.w3.org/TR/owl2-overview/), a World Wide Web Consortium (https://www.w3.org/) language developed for the semantic web. The formal representations of these ontologies support automated consistency checking, querying over relevant datasets, and interoperability with existing data on the semantic web. VIDO is an extension of the widely-used Infectious Disease Ontology Core (IDO Core; https://bioportal.bioontology.org/ontologies/IDO), an ontology comprised of terminological content common to all investigations of infectious disease. VIDO is a refinement of IDO to the specific domain of infectious diseases caused by viruses. As such, VIDO is comprised of common terminological content in investigations of viral diseases, including virus classification, epidemiology, replication, vaccinology, and rational viral drug design. VIDO provides a carefully curated foundation for ontologies representing specific viral infectious diseases such as IDO-COVID-19, an extension of VIDO to the specific disease COVID-19 and its causative virus SARS-CoV-2.

This Week in Virology

I cannot recommend Vincent Racaniello’s This Week in Virology enough. If you’re interested in listening to experts discuss cutting-edge, published and preprint articles covering the pandemic, with (often) minimal jargon and a healthy balance between skepticism and optimism, check TWIV out.

It will forever be the place where I first heard the quote: “If you’re going through hell…keep going.” Delightful.

While I’m plugging, you might as well check out Vincent Racaniello’s Columbia Virology Lectures course, currently free to watch.

CIDO: The Community-based Infectious Disease Ontology

CIDO: The Community-based Infectious Disease Ontology, with Oliver He, Asiyah Lin, Barry Smith, et. al.
(Published in
Science Data)

Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontology has emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO). As an Open Biomedical Ontology (OBO) library ontology, CIDO is an open source and interoperable with other existing OBO ontologies. In this article, the general architecture and the design patterns of the CIDO are introduced, CIDO representation of coronaviruses, phenotypes, anti-coronavirus drugs and medical devices (e.g. ventilators) are illustrated, and an application of CIDO implemented to identify repurposable drug candidates for effective and safe COVID-19 treatment is presented.

Fair Allocation of Philosophers in the Age of COVID-19

We philosophers are often trained to identify, refine, and illuminate difficult issues with a range of techniques. I would like to direct attention towards opportunities where philosophical skills might contribute to healthcare efforts during the present pandemic.

The first involves contributing to important ethics discussions held not in philosophy journals, but in journals like The Lancet and the New England Journal of Medicine. For example, on March 23rd the latter published an article advocating guidelines for allocating scarce resources, prioritizing predicted quality of life and mortality of patients in allocating resources for patients infected with SARS-CoV-2. The article has already been cited 230 times in peer-reviewed journals such as The Lancet, Nature, has been viewed nearly half a million times, and ranks in the 99th percentile of articles mentioned in social media across all medical articles. Notably, this journal has also published four “Letters to the Editor” each objecting to the advocated guidelines. One letter worried such guidelines would sharply disadvantage members of marginalized communities. Authors of the original article responded to each, in this case suggesting discrimination could be avoided by “guidelines and triage committees to preclude the arbitrariness and bias endemic to improvised, bedside rationing.” As of today, that is the end of this discussion in this widely-read, highly influential, medical journal. There was no follow-up discussion of, say, how guidelines not designed to preclude discrimination have a tendency to lead to discriminatory practices when implemented. I suspect readers of this blog already recognized this as an issue worth discussing. Many of us spend our time reflecting on, teaching about, and arguing over such ethical issues. The authors of the above article and associated letters, however, specialize elsewhere. The first opportunity I see then is just this: Direct our philosophical training towards widely-read medical journals via letters to the editor, commentaries, or even articles, in the interest of helping medical researchers think through touch ethical issues.

The second involves contributing to research at the intersection of philosophy, computer science, and medicine focused on making existing medical data more accessible to researchers who need it. Data collected, say, in hospitals is often annotated in ways that make it only locally accessible. Researchers in the growing field of Applied Ontology have been developing ontologies, functioning as dictionaries which allow translations among such datasets. Because medical research generates so much data, these ontologies must be computer-readable; because researchers in the same domain working at different institutions may carve up their domain differently, ontologists are needed to ensure the coherence of translations. And these needs are why philosophers have been a staple in the creation and development of the most widely-used ontologies. To be computer-readable, ontologies are built on a decidable fragment of first-order logic; to ensure coherence, ontologists work with domain experts, e.g. immunologists, virologists, etc., using conceptual analysis. This is expertise in the toolkit of most philosophers, and can be used to contribute to the current development of ontologies being designed to unify data concerning the Covid-19 pandemic, e.g. Virus Infectious Disease Ontology (VIDO), the Coronavirus Infectious Disease Ontology (CIDO). Even under development, these ontologies have already been used to facilitate re-purposing of drugs likely useful in treating Covid-19. Philosophers have been working alongside immunologists, microbiologists, and other relevant researchers in development of these ontologies, and given the state of development, there is plenty of space for those interested in helping researchers explore datasets as they work to address the pandemic. In short, the second opportunity I see is this: Direct philosophers trained as described above towards developing coherent, consistent, structure vocabularies for medical research. For more information about the details of this opportunity, feel free to contact me directly, or explore the National Center for Ontological Research.

In the midst of the present crisis, it may not be clear how our expertise can be useful. I hope the above opportunities illustrates how useful we can be, and I encourage readers to seek out and share other opportunities where our specific skillsets might be useful during these dire times.

Bioethics Week 5 Question 1 Answer

Question 1:  Thompson claims abortion is morally permissible independent of evaluations of moral status. This conclusion is approached by employing a thought experiment, involving the society of music lovers and life-saving treatment. One way of understanding Thompson’s argument is:

1.      Pulling the plug in the Music Lovers case is morally permissible
2.      Pulling the plug in the Music Lovers case is morally analogous to cases of abortion
3.      Hence, cases of abortion are morally permissible

It seems plausible that (1) is true. You might wonder whether (2) is true. This rests in part on the meaning of “morally analogous”…

A heuristic for testing if a situation A is morally analogous to situation B, is to examine whether the explanation for moral judgments about A are of the same type as those for B. For example, compare John stealing candy from a baby to John stealing medication from a pharmacist. Presumably, the explanation for judgments that the former is wrong are of the same type as those for the latter, namely, stealing is wrong. If so, these situations may be morally analogous. On the other hand, though John stealing from a baby and John murdering Sally are both morally wrong, the explanations of judgments differ in each case, suggesting these cases aren’t morally analogous. Similarly, if we add that John murders Sally by stealing medication she needs to survive, these situations aren’t obviously morally analogous, since the explanation for moral judgments about John stealing candy from a baby seems just a part of explanations for moral judgments about John murdering Sally by stealing her medication. That’s sufficient to make these explanations of different types, at least for our discussion here.

Initial Post: I’d like you to identify various morally relevant* differences between these cases that make the claimed morally analogy suspect. Once you’ve identified differences, adjust the Music Lovers case so it is morally analogous to typical cases of abortion. Call your adjusted case “Music Lovers 2”.

Response Posts: I’d like you to examine whether the proposed Music Lovers 2 cases of your peers affects the soundness of Thompson’s original argument. For Thompson’s argument to be valid - which is required for soundness, since only valid arguments can be sound - changing “Music Lovers” in premise (2) to “Music Lovers 2” requires changing premise (1) also, that is:

4. Pulling the plug in the Music Lovers 2 case is morally permissible
5. Pulling the plug in the Music Lovers 2 case is morally analogous to cases of abortion
6. Hence, cases of abortion are morally permissible

Premise (1) of the original argument seemed true, but not premise (2). I think you’ll find replacement with “Music Lovers 2” will make premise (5) true, but make premise (4) false.

*Note: Some differences will be relevant to judgments about the permissibility of the situations, e.g. intention, kidnapping, others won’t, e.g. the presence of certain medical equipment.

Answer: We can make progress on this question by first observing – simply due to the respective structures of the situations compared – that Music Lovers is at best analogous to a rather specific subset of abortion cases. Cases of abortion arise for many reasons, are conducted in a variety of ways, and consequences are frequently much different than analogous consequences in Music Lovers. Of course, we’re interested in morally relevant differences, so this structural observation alone is insufficient to put (2) in question. To see why, observe the following argument:

1.      Murdering Steve with arsenic is morally wrong
2.      Murdering Steve with arsenic is morally analogous to murdering Steve
3.      Hence, murdering Steve is morally wrong

Murdering Steve with arsenic is – structurally speaking – analogous only to a subset of ways to murder Steve. Nevertheless, these situations both involve the same morally relevant features, namely, murdering, i.e. unjustified killing. In arguments involving claims of moral analogy, morally relevant features are most important to keep in mind.

That said, it isn’t too difficult to identify morally relevant differences between Music Lovers and cases of abortion. For example, typically cases of abortion do not involve an individual taken involuntarily and hooked up to anyone. This seems a clear violation of autonomy, and so clearly morally relevant. Such a difference suggests, however, that Thompson’s argument as presented above isn’t sound, since premise (2) is false. That is, it’s not true that pulling the plug in Music Lovers is morally analogous to cases of abortion, since many cases of abortion differ from Music Lovers in this rather important way.

We can attempt to repair the argument, however, by expanding Music Lovers so that it’s also morally analogous to cases of abortion that do not involve being kidnapped and involuntarily hooked up to someone. Suppose, for instance, you enter a lottery knowing that one person who enters will be selected and expected to be hooked up to the musician in Thompson’s case, in the interest of saving that musician’s life. As it turns out, you’re selected, and then you are hooked up to the musician. Call this Music Lovers 2. The argument now runs:

4. Pulling the plug in the Music Lovers 2 case is morally permissible
5. Pulling the plug in the Music Lovers 2 case is morally analogous to cases of abortion
6. Hence, cases of abortion are morally permissible

We questioned premise (2) in the original argument, since there seem important differences between Music Lovers and cases of abortion. We’ve now attempted to repair premise (2), resulting in premise (5) above. A few observations are in order though. First, note that while we have surely made progress on making premise (5) true, there are other morally relevant differences which might undermine the truth of this premise. For example, in most cases of abortion the developing entity is dependent on the mother because of the mother’s actions. This is not so in Music Lovers 2. As described, you entering the lottery is not why the musician needs your help. This is simply to say to make premise (5) fully general we’d need to continue adjusting morally relevant variables, and there are many more to adjust. Putting that aside, second, we can already see trouble on the horizon for Thompson’s argument as described above. To ensure this argument is valid, if we adjust Music Lovers to Music Lovers 2 in premise (5), then we must adjust it similarly in premise (4). Recall, in the original argument premise (1) seemed true, and if you share my intuitions, it seemed obviously true. Note, however, that premise (4) is at least not so obviously true. That is, it’s not obviously morally permissible for you to unplug given that you’d entered the lottery knowing the consequences. This suggests adjusting the Music Lovers case so it aligns more with cases of abortion runs the risk of making the first premise of Thompson’s argument false at the expense of making the second premise true.

Bioethics Week 2 Question 1 Answer

Question 1: The following seems true:

(GOOD) If agent S is reasonably confident that agent T’s life will be worse if S performs action A, then S has a prima facie responsibility to not perform A

For example, if I’m reasonably confident – i.e. I’ve sufficient evidence to believe, I’ve not made any logical errors evaluating that evidence, I’m not intoxicated, etc. – that Mauricio’s life will be worse if I steal his cat then I’ve a responsibility to leave his cat alone. This could be overridden given different details, e.g. if Mauricio had stolen ‘his’ cat from me. That’s what it means to say prima facie; the responsibility in (GOOD) might be overridden. With that qualification, (GOOD) seems defensible, and is perhaps what underwrites physician oaths to ‘do no harm’. Of course, (GOOD) is more general than medicine; it hold for all of us. That suggests there must be more underwriting physician responsibilities than (GOOD). Relevant here is that physicians sometimes must cause significant suffering in the interest of avoiding future suffering. That suggests:

(BETTER) If a physician is reasonably confident that agent T’s life will be better if the physician performs action A, then the physician has a prima facie responsibility to perform A

If this were general, it might generate, say, a responsibility to help people change tires, clean up parks, take out your neighbor’s garbage, etc. These might be contentious. Restricted to physicians, however, (BETTER) seems defensible…assuming they’ve the relevant training needed to help. A neurologist confident that a patient’s life will be better if they’ve surgery but who themselves is not a surgeon, does not seem to have a responsibility to conduct surgery. In fact, it’d seem wrong if they tried to conduct surgery. And that seems underwritten by our old friend (GOOD), since it’s likely they’d make things worse.

Now, consider the following arguments:

(1)   (BETTER) is true
(2)   If (1), then physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better
(3)   Hence, physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better
(4)   Physicians engaging in empathetic discussion with patients concerning recommended treatments is an effective and respectful way to convince patients to accept those treatments
(5)   If (3) and (4), then physicians have a prima facie responsibility to engage in empathetic discussion with patients concerning recommended treatments
(6)   Hence, physicians have a prima facie responsibility to engage in empathetic discussion with patients concerning recommended treatments

So far, so good. Consider next:

(1)   Physicians are not trained to engage in empathetic discussion with patients concerning recommended treatments
(2)   If (1), then physicians can reasonably expect to make the lives of patients worse by attempting empathetic discussion with patients concerning treatments
(3)   Hence, physicians can reasonably expect to make the lives of patients worse by attempting empathetic discussion with patients concerning treatments
(4)   (GOOD) is true
(5)   If (3) and (4), then physicians have a prima facie responsibility to not attempt empathetic discussion with patients concerning treatments
(6)   Hence, physicians have a prima facie responsibility to not attempt empathetic discussion with patients concerning treatments

Both arguments are valid, i.e. if the premises are true then the conclusions are true. But these arguments cannot both be sound given their conclusions are in tension.

Select one of the arguments and - in under 200 words - provide a counterexample for one of the lines of that argument. For your responses, in under 50 words, attempt to counter the counterexamples provided by at least two other students.

Solution 1: We’ll examine each argument line-by-line. Start with the first line of the first argument, which says that the following is true:

(BETTER) If a physician is reasonably confident that agent T’s life will be better if the physician performs action A, then the physician has a prima facie responsibility to perform A

Recall that a prima facie responsibility is a responsibility that can be overridden but is a plausibly a default responsibility. For example, you have a prima facie responsibility to tell the truth, but if doing so would lead to your best friend’s death, then you better not tell the truth! This is because you also have a prima facie responsibility to not let your best friend die if you can help it, and that trumps your prima facie responsibility to tell the truth. This is to say that line (1) claims if a physician can be reasonably confident that a patient’s life will be better if they do something, then the physician has a prima facie responsibility to do it. I think this is true largely due to the role physicians occupy. That said, we could nitpick and note that BETTER seems to suggest that physicians have prima facie responsibilities outside their field of expertise. For example, as stated BETTER implies a physician who is reasonably confident a patient’s marriage is harmful and that breaking up the marriage would make the patient’s life better, has a prima facie responsibility to break up the marriage. Yet, marriage counseling and advice is likely outside the scope of the physician’s expertise. That seems the wrong result.

Whether this is forceful depends, however, on how “reasonably confident” is understood. I’ve left it underspecified on purpose. Suffice it to say that the stronger this constraint, the more plausible it begins to sound that a physician does have a prima facie responsibility to perhaps break up the marriage, i.e. knowledge is power and power brings responsibility. On the other hand, if “reasonably confident” is understood as a weaker constraint, then it seems less likely the physician has a prima facie responsibility to break up the marriage. To avoid the counterexample, it seems the weaker reading should be adopted, and this informs discussion of the remaining next argument. But before we get there…

Consider next lines (2) and (3). If we assume line (1) is true, then note that line (2) is simply a specification of the part between the “if” and the “then” of line (1), to a given action. The logic from (1), (2), and (3) is:

i. If a physician is reasonably confident that agent T’s life will be better if the physician performs action A, then the physician has a prima facie responsibility to perform A
ii. If [if a physician is reasonably confident that agent T’s life will be better if the physician performs action A, then the physician has a prima facie responsibility to perform A] then physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better
iii. Hence, physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better

We can spell it out further though:

i.  If a physician is reasonably confident that agent T’s life will be better if the physician performs action A, then the physician has a prima facie responsibility to perform A
ii. If a physician is reasonably confident that agent T’s life will be better if the physician tries to convince T to accept treatments they believe will make the T’s life better, then the physician has a prima facie responsibility to try to convince T to accept treatments they believe will make the T’s life better
iii.  Suppose a physician is reasonably confident that agent T’s life will be better if the physician tries to convince T to accept treatments they believe will make the T’s life better
iv.  Hence, the physician has a prima facie responsibility to try to convince T to accept treatments they believe will make the T’s life better

The move from (i) to (ii) in this second expansion of the argument reveals the specification of line (1) to a given action. Line (iii) of this second expansion supposes – as is plausible – that a physician is reasonably confident such an action will be helpful for T. This is all to say that we should grant (2) and (3) since they’re points of logic, though they needed unpacking to see that.

Next is line (4), which I repeat here:

Physicians engaging in empathetic discussion with patients concerning recommended treatments is an effective and respectful way to convince patients to accept those treatments

This seems true, and borne out by briefly expanding on what it means to have an empathetic discussion. I think Gawande provides an excellent example of this sort of discussion, for reference. But you can see intuitively – I’m sure – how this works. Patients often receive bad news from physicians or treatments that alter their lives. Physicians who are able to help patient’s feel heard, validated in their concerns, and encouraged through the perhaps difficult near future the patient can expect, create an environment of dialogue so that patients are themselves more likely to listen, validate, and encourage physicians in their recommendations. As my mother used to say: “You catch more flies with honey.” (Ignore that I used to say back: “Why do I want flies? My honey is ruined.”)

Lastly, consider line (5), repeated here and unpacked:

If physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better and physicians engaging in empathetic discussion with patients concerning recommended treatments is an effective and respectful way to convince patients to accept those treatments, then physicians have a prima facie responsibility to engage in empathetic discussion with patients concerning recommended treatments

This also seems true, given that the assumed prima facie responsibility from (3) plausibly transfers through the effective and respectful means of convincing patients mentioned in (4). One might attempt to object here that (5) implies the only way for physicians to make patient lives better is by empathetic discussion, and they believe that. That, however, is incorrect. All this argument says is that empathetic discussion is a way to achieve that end; there are surely others.

Let’s consider the second argument next, starting with line (1):

Physicians are not trained to engage in empathetic discussion with patients concerning recommended treatments

As stated, this seems true. Physicians are trained to treat patients as – simply put – presenting problems to be solved with certain diagnostic tools. But physicians are not often trained to supplement those tools with empathetic discussion of the sort described here. This is, of course, something that could be added to physician training, and – as Rebecca suggests – seems in the current era something medical students are sensitive to, which fills me with optimism about the future.

Consider next line (2):

If (1), then physicians can reasonably expect to make the lives of patients worse by attempting empathetic discussion with patients concerning treatments

Here is where our earlier discussion of “reasonably confident” enters again. Recall, to avoid obvious counterexamples to line (1) in the first argument, we must read this as restricted in some manner. Earlier we didn’t want physicians to become impromptu marriage counselors simply because they’re reasonably confident someone’s life would be better if they weren’t married. We could avoid this counterexample by restricting the scope of “reasonably confident” to physician area of expertise. Restricted thus, and since (1) is true, then it seems plausible empathetic discussion is outside the scope of physician expertise.

That said, there is still a leap from physicians not having such training to being reasonably confident that patient lives will be worse if they try. At this point, it’s worth thinking about context in more depth. Consider first, a physician might convince an individual to receive a life-saving blood transfusion though doing so violates deeply held religious convictions by the patient. If done empathetically, this is more likely to result in the patient feeling heard, and accepting that the decision is largely theirs to make. If done poorly, however, say, by offering a battery of arguments and reasons to the patient until they relent, without attempting empathy, that's likely to result in later feelings by the patient that the decision was somewhat forced on them, as if it wasn't really theirs to make. That in turn may lead to psychological harm, distrust in physicians, etc., all of which would plausibly make the patient's life worse. These are salient possibilities a physician might be reasonably confident in arising if the situation is not approached carefully. Of course, untrained physicians might approach such scenarios carefully, but this would be at best accidental virtue. But accidental virtue is like a toy soldier, it’s a toy, but not a soldier. Better to have intentional virtue, and that requires training.

That said, one might object that simply offering options doesn't make a patient's life worse off, and that’s all that physicians need here to undermine (2). But this is not obviously true. Physicians don't simply ever offer treatment options; the options come with a presumption that the physician thinks they're worth considering. That has force. Why else would we be listening going to the physician. In contrast, if I said to you "Hey, here's a treatment option" you'd be more likely to interpret me as offering merely an option. But if there's presumptive force behind physicians providing options, then the empathy worry arises again. Specifically, if done without empathy, this may come off as physicians simply telling patients what to do, which runs the risk of patients not feeling listened to, and so not feeling they have much of a say in the decision making process. These consequences are less likely if physicians provide options empathetically.

There is of course much more to say about line (2). It is underspecified on purpose, but hopefully thinking through scenarios helps illustrate that plausible specifications of it tend to be true. And if it is, then (3) follows.

So let’s consider (4):  

If agent S is reasonably confident that agent T’s life will be worse if S performs action A, then S has a prima facie responsibility to not perform A

I think this hardly requires defending. If you’d like a defense though, please see my Ties that Undermine and Judgments of Moral Responsibility (with James Beebe) in the journal Bioethics.

That brings us to (5), unpacked, pruned, and with “A” replaced with the relevant action:

If a physician is reasonably confident that a patient’s life will be worse if the physician attempts empathetic discussion with the patient concerning treatments, then the physician has a prima facie responsibility to not attempt empathetic discussion with the patient concerning treatments

A move which again strikes me as true. This is motivated by reflecting on the occupational role physicians have, requiring beneficence and non-malfeasance. Simply put, physicians shouldn’t try to do what they don’t know how to do so well, especially if the consequences of trying are so dire. This sort of justification is already common in the medical field. Physicians who aren’t surgeons don’t often attempt surgery, since others can help and the consequences are dire.

But here we reach the dilemma. It can’t be that both arguments are sound, since they generate conflicting conclusions. I think this dilemma can be resolved by observing that the conclusion of the first argument, though it seems the more plausible of the two arguments given, is actually misguided for the reasons given by the second argument. That said, there’s a nearby conclusion that emerges from an argument similar to the first, namely, that physicians should either learn empathic discussion skills or consult empathetic discussion specialists, i.e. therapists. This resolves the conflict. That argument is (changes in bold):

(1)    (BETTER) is true
(2)   If (1), then physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better
(3)   Hence, physicians have a prima facie responsibility to try to convince patients to accept treatments they believe will make the patient’s life better
(4)   Physicians trained to engage or who seek relevant consults in empathetic discussion with patients concerning recommended treatments provide an effective and respectful way to convince patients to accept those treatments
(5)   If (3) and (4), then physicians have a prima facie responsibility to train to engage in or consult with experts about empathetic discussion with patients concerning recommended treatments
(6)   Hence, physicians have a prima facie responsibility to train to engage in or consult with experts about empathetic discussion with patients concerning recommended treatments

And that seems true.

Bioethics Week 1 Question 1 Answer

Question 1: There seem cases in which it is permissible for physicians to deceive and perhaps outright lie to patients. For example, rather than prescribe pharmaceutical drugs which have various side effects, physicians sometimes prescribe placebos (sugar pills). Placebos are sometimes effective treatment options, and they lack serious side effects. Note, however, it also seems plausible that for a given patient to consent to a treatment, providers should at least honestly convey information about that treatment to the patient. It is further plausible though that the efficacy of placebos is tied to patient ignorance about their being prescribed. These plausible commitments seem in tension. We can formulate this into an argument:

(1)   It is permissible for physicians to prescribe placebos as treatment for patients in some cases

(2)   If (1), then it is permissible for physicians to deceive or outright lie to patients in some cases

(3)   Hence, it is permissible for physicians to deceive or outright lie to patients in some cases

(4)   In acquiring patient consent for a treatment, it is impermissible for a physician to deceive or outright lie to a patient

(5)   All treatments prescribed by physicians require patient consent

(6)   If (4) and (5), then it is impermissible for a physician to deceive or outright lie to a patient about a given treatment

(7)   Hence, it is impermissible for a physician to deceive or outright lie to a patient about a given treatment

(8)   Hence, it is both permissible and impermissible for physicians to deceive or outright lie to patients about a given treatment

This argument is valid. That means that if the premises (1)-(7) are true, then the conclusion (8) must be true. Validity is a matter of form, or logic. This isn’t a logic course though. In this course, we’re more interested in whether the above argument is sound. A sound argument is a valid argument with true premises. Your task here is to determine whether this argument is sound. In under 200 words, identify a line you think is false, and provide a counterexample. If you’re correct, then that line is false. If at least one of the remaining lines is false, then the argument is unsound. For your responses, in under 50 words object to counterexamples raised to lines you did not write about, i.e. attempt to counter the counterexamples of other students.

*Hint: Lines (3), (7), and (8) – all of which begin with “Hence” – follow from preceding lines by logic. We won’t be questioning logic in this course, so you can ignore these lines. Focus on the remaining lines.

Response: We might question, (1), (2), (4), (5), or (6). You were only required to object to one, but I’ll take each in turn. Start with (1). To reject this is to assert that:

(NO) It is impermissible for physicians to prescribe placebos as treatment for patients in some cases

That is, it is never ethically ok. This sort of position might be justified by relying on a strong notion of patient autonomy, since such autonomy might require that patients be as informed as is reasonable when making decisions about treatment options. If you think patients must be as informed as possible, then (NO) would follow. That is, one might pose the following objection to line (1):

(i)                 Autonomy requires that patients be as informed as is reasonable when making decisions about a treatment option

(ii)               If (i), then it is impermissible for physicians to prescribe placebos as treatment for patients in some cases

(iii)             Hence, it is impermissible for physicians to prescribe placebos as treatment for patients in some cases

Observe, (i) requires some unpacking, specifically, with respect to what is meant by “reasonable.” You might think, for instance, that it is reasonable for physicians to deceive patients by prescribing them placebos since telling them of the placebos would undermine the purpose of prescribing them. If that’s the case, then (ii) in the above argument would be false. We should strive to be charitable to those we’re arguing against, so let’s for the moment assume the notion of “reasonable” at play rules out physicians prescribing placebos, so that (ii) is true. It nevertheless might count lots of other “reasonable” practices, e.g. autonomy requires patients understand the dangers of a given surgery. Of course, even charitably understood, there are objections to offer to (i). For it’s not clear that autonomy does require patients be as informed as is reasonable, however you spell out “reasonable”. Indeed, in some cases, it seems patients should not be informed at all when making autonomous decisions about treatment options.

Turning to (2), note how difficult this premise is to deny. That premise unpacked is:

If it is permissible for physicians to prescribe placebos as treatment for patients in some cases, then it is permissible for physicians to deceive or outright lie to patients in some cases

Note that (2) has the form "if...then", and it acts like a bridge linking (1) and (3). Objecting to lines that have the form "if...then" is typically approached in two steps. First, you assume the statement between the "if" and the "then" is true. Second, you pose a counterexample to the statement after "then". More specifically, objecting to line (2) involves first assuming it's true that it's permissible for physicians to prescribe placebos to patients for some treatments, then posing a counterexample to show that it's nevertheless impermissible for physicians to deceive or outright lie to patients in some cases.

One might try counterexamples such as the following:

(LATER) Patients who have been lied to may experience psychological/physical harm later if they find out

(LAWSUIT) Physicians may be liable to lawsuits in the event prescribed placebos don't work

With this in mind, claims (LATER) and (LAWSUIT) above can be understood as the following argument against (2): 

(i) Patients who have been lied to may experience psychological/physical harm later if they find out
(ii) Physicians may be liable to lawsuits in the event prescribed placebos don't work
(iii) If (i) and (ii), then it is impermissible for physicians to deceive or outright lie to patients in some cases
(iv) Hence, it is impermissible for physicians to deceive or outright lie to patients in some cases

But so far this in incomplete, since we must add in that we’re assuming (1) is true. That is, the argument in full is:

(i) Patients who have been lied to may experience psychological/physical harm later if they find out
(ii) Physicians may be liable to lawsuits in the event prescribed placebos don't work
(iii) If (i) and (ii), then it is impermissible for physicians to deceive or outright lie to patients in some cases
(iv) Hence, it is impermissible for physicians to deceive or outright lie to patients in some cases
(v) It is permissible for physicians to prescribe placebos as treatment for patients in some cases
(vi) If a physician prescribes placebos as treatment for a patient (in the way typically practiced) then they deceive or outright lie to patients
(vii) Hence, it is permissible for physicians to deceive or outright lie to patients in some cases

Hopefully the problem with this argument is clear: lines (iv) and (vii) contradict each other. In other words, objecting to line (2) in the above argument by appealing to (LATER) and (LAWSUIT) while accepting (1), leads to an inconsistent argument. Inconsistent arguments aren’t ever sound, since the premises can’t all be true at the same time. One of them must be false. Now (e) was stipulated as true since we’re objecting to line (2), and (f) follows conceptually from (e). (iii) strikes me as false. Simply put, the psychological damage and liability issues may be costs worth accepting to do the morally right thing. This shouldn’t be surprising. Doing the right thing is sometimes demanding.

Starting with line (4), I think we find more objectionable premises. Recall, that premise is:

(4) In acquiring patient consent for a treatment, it is impermissible for a physician to deceive or outright lie to a patient

This effectively says that physicians cannot deceive or lie to patients if they’re to have acquired consent. Another way to state this, is by saying ‘If a physician has lied or deceived a patient when attempting to acquire consent, then the physician has acted impermissibly.’ Suppose a physician has lied or deceived a patient in order to acquire consent. Does that mean the physician has in every case acted impermissibly?

Suppose a patient’s partner has just died, and their patient’s physician recognizes and seeks to recommend a needed surgery to the patient. Suppose the physician is confident the patient will reject the surgery if the physician shares a lot of details about the negative consequences. Were the patient in better spirits, however, the physician is sure the patient would consent to the surgery. The physician downplays the negative consequences and the surgery is pursued successfully. Suppose the patient later learns of the negative consequences, and agrees with the physician’s decision to downplay them in the moment. It seems the physician has acted permissibly here. Moreover, this seems to be justified by something like the following principle:

(PAT) A paternalist action undertaken to help a patient is permissible even if the patient does not consent, if, had the patient been thinking clearly, they would’ve agreed to the action

This justifies a range of paternalist actions. For example, this justifies acting on behalf of a patient who is unconscious, or acting on behalf of a child, or someone intoxicated. Indeed, in some of these cases it seems permissible for a physician to lie or deceive patients for their own good. Suppose a patient is intoxicated and resisting badly needed treatment, but a physician is able to calm them down by, say, relaying that the police will not be called despite the patient’s actions, in full knowledge that the police have been called. This seems permissible. If cases like these are permissible, however, then (4) is false. The argument against (4) can be stated as:

(i)                Suppose a physician has lied or deceived a patient when attempting to acquire consent (ii)               Suppose (PAT) is true of the patient
(iii)               If (i) and (ii), then the physician’s action is permissible
(iv) Hence, the physician’s action is permissible

Which is to say if we assume the part of (4) between the “if” and “then” is true, then we can still show that the part of the statement after the “then” is false, since line (v) above is the opposite of that part of the statement. That’s all it takes to show (4) is false.

Consider lastly (5), which asserts that all treatments prescribed by physicians require patient consent. It seems we’ve already provided a counterexample to this line in the preceding discussion, so I will not belabor the point. Similar remarks apply to (6).

In any event, showing any of these premises false would be sufficient to show this argument is unsound.