ELSI Blog

B2AI Discussion Forum on Emerging ELSI Issues

I. Glenn Cohen-Hospital Implementation of Medical AI: Legal and Ethical Issues

Dr. Nebeker and Kumar-Re-identification Risks in Wearable Sensor Data: Ethical and Privacy Challenges in Digital Health Research

Dr. Hernandez-Boussard-Ensuring Responsible AI in Healthcare: Ethical Challenges and Pathways to Equity

Dr. Ghosh-Concepts of Identity in Voice: Audio Data Processing and Anonymization

Dr. Mello: Using AI in Patient Care: Emerging Legal Issues

Dr. Leo Celi: The ROI of Health AI: We need more roads, not Ferraris

Hortense Gallios: Un/regulated Voice AI for Health? Implications of the safety and efficacy evaluation for Trustworthiness

Dr. Kush R. Varshney: TrustworthyMachine Learning

Rachele Hendricks-Sturrup: Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning

Dr. Michael Abramoff: Regulatory Considerations: Health Equity, AI, and Bias

Cybil Roehrenbeck: Legal and regulatory landscape of healthcare AI technologies

Dr. Sudip Gupta: Algorithmic Bias and Causal Fairness in Healthcare Evidence from MIMIC database

Dr. Tim Mackey: Leveraging Blockchain Technology to Enable Indigenous Data Sovereignty of Genomic Data

Dr. Xiaoqian Jiang: Sensitive Data Detection with High-Throughput Machine Learning Models in Electronic Health Records

Dr. Babak Salimi: Certifying Fair Predictive Models in the Face of Selection Bias

Dr. Bradley Malin: One Size Does Not Fit All: How to Build Respectful Cohorts for Biomedical Data Science

Dr. Debra Mathews: Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field — Lessons from a NASEM Consensus Study for AI-READI

Joseph Yracheta: The Dissonance between Scientific Altruism & Capitalist Extraction for & from the Amerindigenous

Dr. Aaron Goldenberg: Unanswered ELSI Questions in the Development of Biomedical Repositories: Privacy, Equity, and Stewardship

Dr. Berk Ustun: Towards Personalization without Harm

Term of the Month

Vicarious Liability

Reidentification Risk

Anonymization

Digital Biomarker

Hallucination

Tiffany Problem

Trustworthiness

Invisible Populations

Glamour AI

Causal Fairness in Healthcare

Indigenous Data Sovereignty and Blockchain

Precision Medicine

Precision PHI Screening

Data Quality and Algorithmic Fairness

Dignitary Privacy

Social License

Data Subject

Engineering

Learning and Implementing Code Tests