Positions
- Associate Professor
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Center for Medical Ethics and Health Policy
Baylor College of Medicine
Houston, TX, US
Professional Interests
- Ethics of Artificial Intelligence and Machine Learning in Healthcare
- Neuroethics and ethics of emerging bio/neurotechnologies
- Computational bioethics, data governance and blockchain
- Medical anthropology, cultural and psychosocial factors influencing health
Professional Statement
Dr. Kristin Kostick-Quenet is a bioethicist and social scientist, with a background in cognitive psychology and medical anthropology. Her research focuses on socioenvironment and cultural factors that influence adoption and use of emerging bio- and neurotechnologies, especially AI-based tools, in healthcare. Her current research focuses on effective and responsible translation of computer sensor technologies, digital phenotyping, and conversational AI tools in mental health care. She also examines ethical issues related to integrating AI into clinical decision making and develops stakeholder-focused decision support platforms that help patients and clinicians make informed choices about integrating AI tools in their care. Dr. Kostick-Quenet has also done extensive research into ethical considerations around agentic, closed-loop technologies in deep brain stimulation (DBS), and the use of other technologies like blockchain and NFTs to help with patient consent, data governance and privacy. She is trained in rigorous mixed methods, including ethnography, survey design, scale development, Delphi and AI-assisted and rapid qualitative analysis. She works both in the US and global settings including Brazil, Africa, India, and Mauritius, with a focus on enhancing global access to health technologies.
Selected Publications
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Kostick-Quenet, K., Compagnucci, M.C., Aboy, M., & Minssen, T. " Patient-centric federated learning: automating meaningful consent to health data sharing with smart contracts " J Law Biosci .. 2025 Apr 30; 12 (1)
Pubmed PMID: 40321304. -
Kostick-Quenet, K. " A caution against customized AI in healthcare " NPJ Digit Med. 2025 Jan 7; 8 (1) : 13.
Pubmed PMID: 39774331. -
Hurley, M. E., Lang, B. H., Kostick-Quenet, K. M., Smith, J. N., & Blumenthal-Barby, J. " Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care " Am J Bioeth. 2025 Mar ; 25 (3) : 102-114.
Pubmed PMID: 39288291. -
Sonig, A., Deeney, C., Hurley, M.E., Kostick-Quenet, K et al.. " What patients and caregivers want to know when consenting to the use of digital behavioral markers " NPP—Digital Psychiatry and Neuroscience. 2024 Dec 6;
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