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Co-creating Consent for Data Use - AI-Powered Ethics for Biomedical AI.

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  • 1Levin College of Law, University of Florida, Gainesville.

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Summary
This summary is machine-generated.

Medical artificial intelligence (AI) requires AI-powered regulatory oversight to ensure privacy and public trust. Evolving informed consent and developing AI tools are crucial for ethical AI governance in healthcare.

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Area of Science:

  • Biomedical AI
  • Regulatory Science
  • Bioethics

Background:

  • Nations are developing regulatory frameworks for medical AI, facing challenges in oversight due to AI's complexity and rapid innovation.
  • Existing regulatory institutions may be overwhelmed by the scale and pace of AI development, potentially eroding public trust.
  • Protecting privacy while ensuring access to large, inclusive data is critical for safe, effective, and equitable medical AI.

Purpose of the Study:

  • To explore the challenges of regulating medical AI, focusing on privacy protection and data access.
  • To examine the limitations of traditional informed consent in large-scale data environments.
  • To advocate for the development of AI-powered oversight mechanisms and evolved privacy standards.

Main Methods:

  • Literature review and analysis of current regulatory challenges in medical AI.
  • Exploration of the concept of informed consent in the context of big data and AI.
  • Conceptualization of AI-driven solutions for regulatory and ethical oversight.

Main Results:

  • Traditional informed consent models are insufficient for modern large-scale data use in medical AI.
  • AI applications in biomedicine pose significant challenges to human regulators.
  • There is an urgent need for AI-powered tools to assist human regulators and ethicists.

Conclusions:

  • Informed consent must evolve to ensure privacy, equity, and trust in medical AI.
  • AI-driven oversight processes are necessary to support human regulators and ethicists.
  • Investment in AI tools for AI oversight is critical to prevent regulators from falling behind.
  • Public engagement in co-creating privacy standards is essential for data contribution.