Regulatory Foundations, Ethics, and Law Program

Faculty Voices: Harvard GenAI Library for Teaching and Learning

This article from Nature discusses the integration of AI in designing and conducting clinical trials. AI can optimize various aspects of clinical trials, from patient recruitment to data analysis. Its application can lead to more efficient trials, reduced costs, and improved accuracy in results, ultimately benefiting human participant research by enhancing study quality and reliability.

Author: Harvard University

Generative AI in a Nutshell – How to Survive and Thrive in the Age of AI

This video explores the ethical dimensions of AI applications in research settings. This content provides insights into the ethical considerations necessary when deploying AI in studies involving human participants. It highlights potential biases, consent issues, and the importance of transparency, all of which are critical to conducting ethical research.

Author: Henrik Kniberg

2024 George W. Gay Lecture in Medical Ethics: Bioethics in the Age of Artificial Intelligence

Effy Vayena, PhD, Professor of Bioethics and Associate Vice President for Digital Transformation and Governance at ETH Zurich, Switzerland, discusses the integration of AI in human participant research, highlighting its practical applications and theoretical implications. Presented by the HMS Center for Bioethics, this session addresses the benefits and challenges of using AI in this context and provides resources to support researchers navigating this evolving field. It emphasizes the importance of understanding how to responsibly use AI in human participant research and underscores the need for ethical considerations, transparency, and guidelines to ensure AI tools are used effectively and ethically in these studies.

Author: HMS Center for Bioethics

Clinical Ethics Conversations: Can AI Act as a Clinical Ethicist? Should It?

This presentation from the HMS Center for Bioethics explores the ethical considerations of using AI in human participant research, addressing such topics as informed consent, data privacy, and potential biases that AI can introduce into research involving human participants. Ethical considerations are paramount in human participant research, and the integration of AI introduces new challenges and complexities. The speakers provide valuable insights into navigating these ethical landscapes, ensuring that AI applications uphold the rights and well-being of research participants

Author: HMS Center for Bioethics

Developers Claim AI can Help Combat Loneliness, but Critics say it Can’t be Trusted

This video from PBS News explores the potential of AI to address issues of loneliness, especially through applications designed to provide social interaction and support. It also presents critiques regarding the reliability and ethical concerns surrounding these AI solutions. The video provides insights into the application of AI in addressing loneliness and underscores the need for careful consideration of both the potential benefits and limitations of AI interventions in research involving human participants.

Authors: Paul Solman and Ryan Connelly Holmes

Ethic Unwrapped

This glossary from the University of Texas defines key ethical principles in AI, such as fairness, transparency, and accountability. It is critical to human participant research as these principles guide the ethical use of AI in studies involving sensitive participant data, ensuring the research respects participants’ rights and dignity.

Author: University of Texas, McCombs School of Business