Cutting-Edge ELSI Issues Surrounding the Integration of Health AI in Academia, Government, and Industry

Abstract: This panel will explore cutting-edge costs and benefits regarding integration of AI advances into academia, government, an industry - with a focus on ELSI challenges to be addressed by the bioethics community.

The first speaker, a lawyer-bioethicist with experience in commercial datasharing, will present data from interviews with major academic medical centers and discuss best practices regarding integrating AI within electronic medical record systems (EMR) and critical concerns peer institutions are facing. They will conclude with recommendations regarding preserving equity advances in data and AI in the current federal environment.

The second speaker, a physician with experience integrating AI systems, will present a matrixed framework for disclosure, assent, and informed consent for AI-enabled predictions. They will explore three specific areas including: risks and benefits to the patient of the prediction; risks and benefits to the patient if the prediction becomes known to others; and relatedness of the prediction to the patient’s health.

The last speaker, a bioethicist who focuses on emerging computing environments, will discuss how federal investment in commercial cloud infrastructures has transformed access and sharing of genomic data. Ensuring participants understand how their data are used, and who has access, is increasingly important for institutional trustworthiness. They will also share preliminary findings regarding stewardship in cloud environments.

The moderator, a physician and federal employee helping oversee one of the largest EMR transitions in the country, will help contextualize these findings with on-the-ground experience and latest insights from federal directives. They will also ensure full audience engagement.

Keywords: Artificial intelligence, health data research, public-private partnerships