Regulatory Foundations, Ethics, and Law Program

Medicine’s Lessons for AI Regulation 

This article from The New England Journal of Medicine discusses the need for contemporary strategies in informed consent to ensure that participants are genuinely informed and able to make autonomous decisions, addressing both ethical and practical aspects of modern research practices. This article emphasizes the need for accurate data interpretation and responsible communication, especially in research involving AI. It underscores the importance of rigorous data analysis and transparency in research involving human participants.

Author: Laura Stark

The Current State of Artificial Intelligence Generative Language Models is More Creative Than Humans on Divergent Thinking Tasks

This article from Scientific Reports explores how biases among researchers can influence study outcomes, emphasizing the need for strategies to minimize these biases to enhance the validity and reliability of clinical trials. This article demonstrates how the use of AI and other research tools can lead to a more comprehensive understanding of an issue.

Authors: Kent F. Hubert, Kim N. Awa, and Darya L. Zabelina

Research Handbook on Health, AI and the Law

This article from Elgar Online provides a comprehensive examination of ethical standards and regulatory frameworks across different jurisdictions, offering insights into best practices and fostering improved protection for research participants globally. This article is significant because it explores the intersection of technology and ethics in the context of research. It delves into the ethical and legal considerations of using AI technologies in studies involving human participants, including issues of consent, privacy, and data security.

Authors: Barry Solaiman and Glenn Cohen

AI and the Falling Sky: Interrogating X- Risk [PDF]

This article from the Journal of Medical Ethics addresses contemporary ethical challenges and considerations in human participant research, offering valuable insights into evolving norms and practices that enhance the protection and respect for participants in the research process. The article contributes to a deeper understanding of the potential long-term impacts of AI, guiding both research practices and the responsible development of AI technologies.

Authors: Nancy S. Jecker, Jean- Christophe Bélisle- Pipon, Caesar Alimsinya Atuire, Vardit Ravitsky, and Anita Ho

Disparities in Clinical Studies of AI Enabled Applications from a Global Perspective

This article from Nature focuses on the application of artificial intelligence (AI) to predict cardiovascular disease risk using electronic health records (EHRs). It highlights the transformative potential of AI in improving cardiovascular risk prediction and patient care, while also emphasizing the need for careful management of ethical and privacy concerns in research involving human participants.

Authors: Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D’Agostino, Mingxuan Liu, Yilin Ning, and Nan Liu