Kellie N. Owens, PhD
Assistant Professor of Population Health
New York University
Abstract: This talk will explore ethical considerations that arise in the development and deployment of artificial intelligence (AI) and machine learning in healthcare, including equity, fairness, privacy, safety, and transparency. Based on initial findings from two different empirical bioethics research projects, Dr. Owens will first explore how to ethically and effectively govern AI systems and models in healthcare settings based on in-depth interviews with key stakeholders including data scientists, clinicians, and regulators. She will then examine how patient-facing generative AI tools such as automated clinical documentation and AI-drafted patient messaging in online health portals may affect trust and empathy between clinicians and patients. Both projects seek to guide healthcare systems in navigating the ethical complexities of adopting new technologies, ensuring that advancements in AI serve to strengthen, rather than erode, the foundational trust in our healthcare systems and patient-clinician relationships.
This Health Informatics Grand Rounds is co-sponsored by the Research, Ethics and Society Initiative of Pitt Research
Location and Address
Online and in-person @ Room 4060 in Forbes Tower