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I/F
# Journal I/F

AMERICAN JOURNAL OF BIOETHICS

OMB Proposed Rule Change: The New Lysenkoism? Reimagining Bioethics in the Era of AI Agents. The Ethics of Integration: Why Healthcare AI Must Be Evaluated Within Clinical and Research Workflows. Ethical and Epistemic Considerations for the Use of Artificial Intelligence in Ultra-Rare Disease Clinical Trials. Preventing Ethical Asymmetries: AI-Driven Decision-Aids for Prospective Participants in Clinical Research. Beyond Persuasion: AI Risk of Manipulation in Research Recruitment. AI-Enabled EHR Mining of SBDOH Enables Diverse Trial Recruitment but Raises Ethical Concerns. Autonomy, Trust, and Stewardship: Centering Participants in AI-Enabled Trial Matching. Adaptive IRB Oversight for AI-Enabled Recruitment: A Case Study from Researcher-Developer and Human Research Protection Program Perspectives. Meaningful Participation in AI-Mediated Clinical Trial Recruitment. Key Ethical Questions for Consideration and Research Practice Recommendations to Support Synthetic Data Research. Using AI to Calculate Research Payments. Use of AI as a Research Recruitment Tool: A DSMB Perspective. Acknowledgment Is Not Enforcement: Closing Commercial AI Recruitment's Transparency Gap. Recruitment Inference Creep: Why AI in Clinical Trials Needs Auditable Ethical Limits. Dangerous Bullshit: Why It Is Wrong to Hold Clinicians Responsible for the Outputs of Generative AI. When AI Plays "Telephone": Unexpected Problems With AI Clinical Summarization. Interviews May Not Reveal Structural Risks That We Know to be Present in Generative AI. Ethics by Design: Preserving Moral Judgment in an AI-Driven Health System. Three Maxims for Ethical AI in Health Care: The Denominator Problem, Human Accountability, and Data Stratification. Starting to Spread and Scale Ethical AI Governance Across the Country. Sound Governance of Vendor-Created Generative AI Tools Requires Collective Action. Beyond Verification: Operative Justifications for Patient Access to AI-Generated Inpatient Documentation. Clinical Documentation as Clinical Practice: Beyond the Novel Risks of AI Summarization Tools. The Many Faces of Documentation Burden. The Importance of Acknowledging the Sociocultural Context in Ethical Assessments of Generative AI Tools for Clinical Summarization. Epistemic Laundering and the Clinical Note: Why Provenance Must Carry Moral Weight. The Missing Stakeholder and Their Values: Medical Students and the Integration of AI Clinical Summarization Tools. Ethical Risks of AI-Driven Clinical Documentation for Vulnerable Patient Populations. Whose Federation? Epistemic Closure, Community Exclusion, and the Political Economy of Federated Learning. Does Swarm Learning Solve Federation Opacity? The Need for Governance Beyond Decentralization. Whose Federation? Federation Opacity Through a Global Health Lens. Many Hands, But Who Is In Control? Two Types of Control Gaps in Federated Learning for Healthcare. Defensive Discrimination and the Cyber-Bioethics of Federated Learning in Healthcare. Federation Opacity as Governance Opportunity: toward a Fiduciary Model of Distributed Medical AI. Bridging the Ethical Gap: Reconciling Federated Learning With ICH E6 (R3) Oversight. Federated Learning is Still Machine Learning! Epistemic vs. Ethical Issues Common Across Medical ML Models. Federation Opacity and the Risks of Recursion in High-Stakes Clinical Scenarios. A Question of Benchmarking. Insights from Decentralized Networks for the Governance of Federated Machine Learning. Shifting Tasks, Shifting Baselines: Mobile Health and the Limits of Empowerment. Carrots and Sticks: Incentives in Shaping Digital Health Products. Transparency Over Gatekeeping. When Task Shifting Becomes Responsibility Laundering. Mobile Health and Deresponsibilization. A Responsibility-Based Test for Task Shifting in Digital Health. When the Employer Is the Gatekeeper: Rethinking Digital Health Task Shifting. From Empowerment to Offloading: Task Shifting and the Redistribution of Responsibility in Digital Health. Realizing the Promise of Mobile Health Tools for Improved Healthcare Access. Institutional Conscientious Objection is Not the Answer. Which Institutional Conscience? Awkward, Arbitrary, or Arrogant?