Positions
- Assistant Professor
-
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
Kristin Kostick-Quenet is a bioethicist and medical anthropologist whose research focuses on ethical, social and cultural factors related to emerging bio- and neurotechnologies and the use of artificial intelligence (AI) and machine learning (ML) applications in healthcare. Her current research focuses on ethical translation of computer perception technologies, including digital phenotyping and computational affective/behavioral analysis into clinical care. Other recent publications address ethical issues related to integrating AI/ML into clinical decision making, closed-loop technologies in deep brain stimulation, and computational ethics (e.g. blockchain) approaches to consent, data governance and privacy. She has also published on topics ranging from ethical design of AI/ML user systems and interfaces, communicating AI/ML-based personalized diagnostics and risk, return of results in psychiatric genetics research, ethical issues in disorders of consciousness, and ethical/practical considerations for implementing decision aids (particularly for Left Ventricular Assist Device therapy for heart failure) and other clinical interventions into real-world clinical contexts, including global health settings.Selected Publications
- Kostick-Quenet, K and Rahimzadeh, V "Ethical hazards of health data governance in the metaverse." Nature machine intelligence. 2023 May;5(5):1-3. Pubmed PMID: 37334182
- Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J., McGuire, A. "Ethics Education for Healthcare Professionals in the Era of chatGPT and Other Large Language Models: Do We Still Need It?." Am J Bioeth. 2023 Jul 24;1-11. Pubmed PMID: 37487184
- Kostick-Quenet, K., Mandl, K., Minssen, T., Cohen, G,. Gasser, U., Kohane, I and McGuire., A "How NFTs could transform health information exchange." Science. 2022 Feb;375(6580):500-502. Pubmed PMID: 35113709
- Kostick-Quenet, K., and Gerke, S. "AI in the hands of imperfect users." NPJ Digit Med .. 2022 Dec 28;5(1):197. Pubmed PMID: 36577851
- Kostick-Quenet, K., Cohen, G., Gerke, S., Lo, B., Antaki, J., Movahedi, F., Njah, H., Schoen, L., Estep, J., Blumenthal-Barby, J. "Mitigating Racial Bias in Machine Learning." J Law Med Ethics. 2022;50(1):92-100. Pubmed PMID: 35243993
- Kostick-Quenet, K, Kalwani, L, Koenig, B, Torgerson, L, Sanchez, Munoz, K, Hsu, R et al. "Researchers' Ethical Concerns About Using Adaptive Deep Brain Stimulation for Enhancement." Front Hum Neurosci .. 2022 Apr;14(16):813922. Pubmed PMID: 35496073
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