ELSI Blog

B2AI Discussion Forum on Emerging ELSI Issues

Colin Walsh – From Prediction to Practice: Generating Evidence for Healthcare AI

Vincent Liu – AI, Augmented Intelligence, in Healthcare

Jodyn Platt – Patient Trust, Consent, and the Ethics of Secondary Ambient AI Scribe Data Use

Cora Han – Making Health AI Work: Turning Principles into Real-World Impact

Nicholas G. Evans – Conjoint analysis of perspectives on ethical tradeoffs in data generation project

Susannah Rose – Pragmatic and Nimble AI Governance in Healthcare

Camille Nebeker – Trust Starts Upstream: Recommendations for creating ethically sourced health data repositories for AI/ML

Kevin B. Johnson – The Observer Project: Transforming Healthcare from the Outside

Ida Sim – Rational Health AI and Respect for Persons

Jennifer K. Wagner – Data Management in the Extremes

Marzyeh Ghassemi – The Pulse of Ethical Machine Learning in Health

Shannon McWeeney, Ph.D. – Ethical, Legal, and Social Implications in AI Quality Assurance and Model Validation: Case Studies and Evolving Approaches

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

Term of the Month

Pragmatic Clinical Trial

Human–AI Care System

How about invisibility?

Privacy-Enhancing Technologies (PETs)

Conjoint analysis

Human-in-the-Loop (HITL)

Ethically sourced (health data repository)

Hidden Confounding Variables

Sociotechnical ethnography

Relational AI

Dataveillance

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

Engineering

Learning and Implementing Code Tests