CHHAIN Team Member Publications
Blumenthal-Barby JS. An AI Bill of Rights: Implications for Health Care AI and Machine Learning-A Bioethics Lens. American Journal of Bioethics, 23(1), 2023: 4-6.
Blumenthal-Barby J. Ethics of Speculation. Journal of Medical Ethics, 49(8), 2023: 525-526.
Blumenthal-Barby JS. What Sort of Collective Afterlife Matters and How, Philosophia: Philosophical Quarterly of Israel 44(1), 2016:87-100.
Blumenthal-Barby J, Fletcher F, Taylor L, Nelson R, Moore B, Saloner B, Ubel P. Ethical Complexities in Utilizing Artificial Intelligence for Surrogate Decision Making. American Journal of Bioethics 24 (7), 2024:1-2.
Blumenthal-Barby JS, Lang B, Dorfman N, Kaplan H, Hooper WB, Kostick-Quenet K. Research on the Clinical Translation of Health Care Machine Learning: Ethicists Experiences on Lessons Learned, American Journal of Bioethics, 22(5), 2022: 1-3.
Goodman KE, Blumenthal-Barby J, Redberg RF, Hoffmann DE. FAIRS – A Framework for Evaluating the Inclusion of Sex in Clinical Algorithms. New England Journal of Medicine. 392(4), Jan 2025: 404-411.
Hemment D, Kommers C, et al. 2025. Doing AI Differently: Rethinking the Foundations of AI via the Humanities. White Paper. London: The Alan Turing Institute.
Hurley ME, Lang BH, Kostick-Quenet KM, Smith JN, Blumenthal-Barby J. Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care. The American Journal of Bioethics, Published Online First 17 Sept 2024, 1–13.
Hurley M, Sonig A, Herrington J, Storch EA, Lazaro-Munoz G, Blumenthal-Barby JS, Kostick-Quenet K. Ethical Considerations for Integrating Multimodal Computer Perception and Neurotechnology, Frontiers in Psychology, 18,
Kelley A, Blumenthal-Barby J. Digital Doppelgängers, Grief Bots, and Transformational Challenges, The American Journal of Bioethics, 25(2), 2025: 1-2.
Kommers C, Ahnert R, Antoniak M, Benetos E, Benford S, Bunz M, Caramiaux B, Concannon S, Disley M, Dobson J, Du Y, Duéñez-Guzmán E, Francksen K, Gius E, Gray JWY, Heuser R, Immel S, So RJ, Leigh S, Livingston D, Long H, Martin M, Meyer G, Mihai D, Noel-Hirst A, Ostherr K, Parker D, Qin Y, Ratcliff J, Robinson E, Rodriguez K, Sobey A, Underwood T, Vashistha A, Wilkens M, Wu Y, Zheng Y, Hemment D. Computational hermeneutics: evaluating generative AI as a cultural technology. 2026. Frontiers in Artificial Intelligence. 9, 1753041. PMCID: PMC12979437
Kostick-Quenet KM, Cohen IG, Gerke S, Lo B, Antaki J, Movahedi F, Njah H, Schoen L, Estep JE, Blumenthal-Barby JS. Mitigating Racial Bias in Machine Learning. Journal of Law, Medicine, and Ethics 50(1), 2022: 92-100.
Kostick-Quenet K, Lang BH, Smith J, Hurley M, Blumenthal-Barby J. Trust Criteria for Artificial Intelligence in Health: Normative and Epistemic Considerations. Journal of Medical Ethics. 2023;0:1-8.
Lang BH, Kostick-Quenet K, Smith JN, Hurley M, Dexter R, & Blumenthal-Barby J. (2025). Should Physicians Take the Rap? Normative Analysis of Clinician Perspectives on Responsible Use of ‘Black Box’ AI Tools. AJOB Empirical Bioethics, 1–12.
Lang BH, Nyholm S, Blumenthal-Barby J. Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution. Digital Society. 2023 Dec;2(3):52.
Ostherr K. 2022. Artificial Intelligence and Medical Humanities. J Med Humanit. Jun;43(2):211-232. doi: 10.1007/s10912-020-09636-4. PMID: 32654043; PMCID: PMC9242900.
Ostherr K, Engebretsen E, Wood A. 2026. "Ambient Scribes as Narrative Technologies" forthcoming in The Lancet.
Ostherr, K. 2020. “Artificial Intelligence and Medical Humanities,” Journal of Medical Humanities.
Ostherr, K. 2023. “Data,” in Keywords for Health Humanities, eds. S. Altschuler et al. NY: NYU P.
Ostherr, K. 2023. “The Future of Translational Medical Humanities: Bridging the Data/Narrative Divide,” Medical Humanities 49, no. 4: 529–36.
Ostherr, K. 2018. “Privacy, Data Mining, and Digital Profiling in Online Patient Narratives,” Catalyst: Feminism, Theory, Technoscience 4, no. 1: 1–24.
Ostherr, K. et al., 2017. “Trust and Privacy in the Context of User-Generated Health Data,” Big Data & Society 4, no. 1.
Ostherr K, Huang W, Park A, Punnen T, Tadigotla B, Robinson V, Downing A. 2025. Patient Participation in AI for Health Curriculum. J Particip Med 2025;17:e69942. DOI: 10.2196/69942. PMCID: PMC12508668
Peoples N, Blumenthal-Barby J. Dual public health and regulatory dilemmas of “relational” artificial intelligence. NEJM AI. 2026;3(1). Published December 18, 2025.
Petrick, E. 2015. Making Computers Accessible: Disability Rights and Digital Technology. Baltimore,
MD: Johns Hopkins UP.
Petrick, E. 2022. “The Computer as Prosthesis? Embodiment, Augmentation, and Disability,” in Janet
Abbate and Stephanie Dick, eds, Abstractions and Embodiments: New Histories of Computing
and Society. Baltimore: Johns Hopkins University Press: 399-415.
Petrick, E. 2020.“A Historiography of Human-Computer Interaction,” IEEE Annals of the History of
Computing, Special Issue on “Interface Architects: The Evolution of Human–Computer
Interaction,” 42, no. 4: 8-23.
Rahimzadeh, V., 2024. Personal But Necessarily Predictive? Developing A Bioethics Research Agenda
For AI-Enabled Decision-Making Tools. Am J Bioeth, 24(7), Pp.29-31.
Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J. And Mcguire, A.L., 2023. Ethics Education For Healthcare Professionals In The Era Of Chatgpt And Other Large Language Models: Do We Still Need It?. Am J Bioeth, 23(10), Pp.17-27.
Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, & Kostick-Quenet K. (2024). Ethical concerns of using computer perception technologies among pediatric patients. AI and Ethics.
Sonig A., Deeney C, Hurley ME, Storch EA., Herrington J, Lázaro-Muñoz G, Zampella CJ, Tunc B, Parish-Morris J, Blumenthal-Barby J, & Kostick-Quenet K. (2024). What patients and caregivers want to know when consenting to the use of digital behavioral markers. NPP—Digital Psychiatry and Neuroscience, 2(1), 1–15.
Spector-Bagdady, K., Rahimzadeh, V., Jaffe, K. And Moreno, J., 2022. Promoting Ethical Deployment
Of Artificial Intelligence And Machine Learning In Healthcare. Am J Bioeth, 22(5), Pp.4-7.
Subrahmanyam V, Bailar M, Ostherr K, Kostick-Quenet KM, McGuire AL, Alexander Neitzke-Spruill L, Rahimzadeh V. (2026). Meaningful Participation in AI-Mediated Clinical Trial Recruitment. The American Journal of Bioethics, 26(8), 56–59. doi.org/10.1080/15265161.2026.2690962
AI Literature
History and Theory
Adus, S., J. Macklin, J. and A. Pinto. 2023. Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care. BMC Health Serv Res 23, 1163.
Altschuler, S. et al. Clinician as editor: notes in the era of AI scribes. The Lancet, Vol. 404, Issue 10468,
2154 – 2155.
Bailey, M. 2021. Misogynoir Transformed: Black Women’s Digital Resistance. NY: NYU P.
Banner, O. 2017. Communicative Biocapitalism: The Voice of the Patient in Digital Health and the Health Humanities. Ann Arbor, MI: University of Michigan Press.
Banerjee, S., Griffiths, S. 2023. Involving patients in artificial intelligence research to build trustworthy systems. AI & Soc.
Benjamin R. 2019. “Assessing risk, automating racism.” Science 366, 421-422.
Benjamin R. 2019. Race after Technology: Abolitionist Tools for the New Jim Code. Cambridge, UK: Polity.
Birnbaum, F. et al. 2015. “Patient engagement and the design of digital health.” Academic emergency medicine: official journal of the Society for Academic Emergency Medicine vol. 22,6: 754-6.
Braun, L. 2014. Breathing Race into the Machine: The Surprising Career of the Spirometer from Plantation to Genetics. University of Minnesota Press.
Broussard, M. 2023. More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. Cambridge,
MA: MIT Press.
Buolamwini, J, and T Gebru. 2018. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” In Proceedings of the 1st Conference on Fairness, Accountability and
Transparency, edited by SA Friedler and C Wilson, 81:77–91. Proceedings of Machine Learning
Research.
Chinn, Sarah E. 2000. Technology and the Logic of American Racism: A Cultural History of the Body as Evidence. Continuum.
Clarke, V. and V. Braun. 2017. “Thematic analysis.” Journal of positive psychology 12, no. 3: 297-298.
Cooper Owens, D. 2017. Medical Bondage: Race, Gender, and the Origins of American Gynecology.
Atlanta: University of Georgia Press.
Costanza-Chock, S. 2020. Design Justice: Community-Led Practices to Build the Worlds We Need.
Cambridge, MA: MIT Press.
Crawford, K. 2022. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven, CT: Yale UP.
Criado-Perez, C. 2019. Invisible Women: Exposing Data Bias in a World Designed for Men. London:
Chatto & Windus.
DasGupta, S. 2008. “Narrative Humility,” The Lancet 371, no. 9617: 980–81.
Davis, J.L., A. Williams and M.W. Yang. 2021. “Algorithmic Reparation,” Big Data & Society 8.2.
D’Ignazio, C and LF Klein. 2020. Data Feminism. Cambridge, MA: MIT Press.
El-Azab, S. and P. Nong. 2023. “Clinical Algorithms, Racism, and ‘Fairness’ in Healthcare: A Case of Bounded Justice,” Big Data & Society 10.2.
Franklin, S. 2021. The Digitally Disposed: Racial Capitalism and the Informatics of Value. Minneapolis:
U of MN Press.
Gallon, K. 2016. “Making a Case for the Black Digital Humanities.” In Debates in the Digital Humanities
2016, eds. M.K. Gold and L.F. Klein. Minneapolis: U of MN Press.
Greene, J.A. 2022. The Doctor Who Wasn’t There: Technology, History, and the Limits of Telehealth.
Chicago, IL: U of Chicago Press.
Hoberman, J.M. 2012. Black and Blue: The Origins and Consequences of Medical Racism. U of CA P.
Hogarth, R. 2017. Medicalizing Blackness: Making Racial Difference in the Atlantic World, 1780-1840.
Chapel Hill, NC: UNC Press.
Holloway,K. 2011. Private Bodies, Public Texts: Race, Gender, & a Cultural Bioethics. Durham: Duke UP.
Iwai, Y., Z.H. Khan, and S. DasGupta, 2020. “Abolition Medicine,” The Lancet 396, no. 10245: 158–59.
Kadambi, A. 2021. “Achieving Fairness in Medical Devices.” Science 372 (6537): 30–31.
Kelly F.E. et al. “Intensive care medicine is 60 years old: the history and future of the intensive care unit.” Clin Med (Lond). 2014 Aug; 14(4): 376-9.
Kennedy, B., A. Tyson, C. Funk. 2022. “Americans’ trust in scientists, other groups declines.” Pew
Research Trust.
Lupton, D. 2018. Digital Health: Critical and Cross-Disciplinary Perspectives. NY: Routledge.
McKittrick, K. 2021. Dear Science and Other Stories. Durham, NC: Duke U Press.
Minssen T, Vayena E, Cohen IG. 2023. “The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models.” JAMA 330.4: 315-316.
Nelson, A. 2022. “Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People.” U.S. White House Office of Science and Technology Policy.
Noble, S. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. NY: NYU Press.
Obermeyer, Z. et al. 2019. “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.” Science (New York, N.Y.) 366, no. 6464: 447–53.
Owens K. and Walker, A. 2020. “Those designing healthcare algorithms must become actively anti-racist.” Nature Medicine, vol. 26, no. 9: 1327-1328.
Rampton, V., M Böhmer, and A Winkler. 2022. “Medical Technologies Past and Present: How History Helps to Understand the Digital Era.” J of Medical Humanities 43 (2): 343–64.
Ravindranath, M. 2024. “OpenAI isn’t built for health care. So why is its tech already in hospitals, pharma, and cancer care?” STAT+ (Nov. 12, 2024).
Reardon, J., et al. 2023. “Trustworthiness matters: Building equitable and ethical science” Cell, v.186.
Reiser, S.J. 1978. Medicine and the Reign of Technology. Cambridge: Cambridge U Press.
Reverby, S.M. 2013. Examining Tuskegee: The Infamous Syphilis Study and Its Legacy. Chapel Hill: UNC Press.
Roberts, D.E. 2011. Fatal Invention: How Science, Politics, and Big Business Re-Create Race in the Twenty-First Century. NYC: New Press.
Roberts, D.E. 1999. Killing the Black Body: Race, Reproduction, and the Meaning of Liberty. NYC: Vintage Books.
Select Committee on Artificial Intelligence of the National Science and Technology Council. 2023. “National Artificial Intelligence Research and Development Strategic Plan 2023 Update.”
Sim, I. and C Cassel. 2024. “The Ethics of Relational AI - Expanding and Implementing the Belmont Principles.” NEJM vol. 391.3: 193-196.
Snow R. et al. 2013. What happens when patients know more than their doctors? Experiences of health interactions after diabetes patient education: a qualitative patient-led study. BMJ Open;3:e003583.
Villarosa, L. 2022. Under the Skin: The Hidden Toll of Racism on American Lives and on the Health of Our Nation. NY: Doubleday.
Vyas, D.A., L.G. Eisenstein, and D.S. Jones, “Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms,” NEJM 383, no. 9 (August 27, 2020): 874–82.
Wailoo, K. 1997. Drawing Blood: Technology and Disease Identity in Twentieth-Century America.
Baltimore: Johns Hopkins University Press.
Wailoo, K. 2022. “Patients Are Humans Too: The Emergence of Medical Humanities,” Daedalus 151, no. 3: 194–205.
Washington, H.A. Medical Apartheid: The Dark History of Medical Experimentation on Black Americans from Colonial Times to the Present. NY: Doubleday, 2006.
Wright MT, et al. 2010. A call for an international collaboration on participatory research for health. Health Promot Int.;25(1):115-22.
Memoir and Illness Narratives
Ata, I.O. 2017. Mis(h)Adra. First Gallery 13 hardcover edition. NY: Gallery 13.
Bauby, J-D. 1998. The Diving Bell and the Butterfly: A Memoir of Life in Death. Trans. Jeremy Leggatt.
NY: Vintage Books.
Blackstock, U. 2024. Legacy: A Black Physician Reckons with Racism in Medicine. NY: Viking.
Boyer, A. 2019. The Undying: Pain, Vulnerability, Mortality, Medicine, Art, Time, Dreams, Data, Exhaustion, Cancer, and Care. NY: Farrar, Straus and Giroux, 2019.
Broyard, A. 1992. Intoxicated by My Illness: And Other Writings on Life and Death. NY: Clarkson Potter.
Clare, E. 2017. Brilliant Imperfection: Grappling with Cure. Durham: Duke University Press.
Danquah, M.N-A. 1998. Willow Weep for Me: A Black Woman’s Journey through Depression, a Memoir.
NY: Norton.
Díaz, Jaquira. 2019. Ordinary Girls: A Memoir. Chapel Hill, NC: Algonquin Books of Chapel Hill.
Feldshuh, D. 1995. Miss Evers’ Boys. New York: Dramatists Play Service.
Grealy, L. 2016. Autobiography of a Face. Boston: Mariner Books.
Harper, M. 2021. The Beauty in Breaking: A Memoir. New York: Riverhead Books.
Heumann, J.E. and K. Joiner. 2020. Being Heumann: An Unrepentant Memoir of a Disability Rights Activist. Boston, MA: Beacon Press.
Hong, C.P. 2020. Minor Feelings: An Asian American Reckoning. NY: One World.
Jaouad, S. 2021. Between Two Kingdoms: A Memoir of a Life Interrupted. NY: Random House.
Khakpour, P. 2018. Sick: A Memoir. NY: Harper Perennial.
Lindsay, R. 2018. RX: A Graphic Memoir. NY: Grand Central Publishing.
Lorde, A. 1980. The Cancer Journals. Argyle, N.Y: Spinsters Ink.
Manguso, S. 2008. The Two Kinds of Decay. NY: Farrar, Straus and Giroux.
Neufeld, J. 2022. Vaccinated at the Ball: A True Story about Trusted Messengers. Journalist’s Resource.
Parks, S-L. 1997. Venus: A Play. New York: Theatre Communications Group.
Piepzna-Samarasinha, L.L. 2018. Care Work: Dreaming Disability Justice. Vancouver, BC, Canada:
Arsenal Pulp Press.
Rankine, C. 2014. Citizen: An American Lyric. Minneapolis: Graywolf Press.
Tweedy, D. 2015. Black Man in a White Coat: A Doctor’s Reflections on Race and Medicine. NY: Picador.
Wang, E.W. 2019. The Collected Schizophrenias: Essays. Minneapolis, Minnesota: Graywolf Press.
Wong, A. ed. 2020. Disability Visibility: First-Person Stories from the Twenty-First Century. NY:
Vintage