Policymaker Grace
PolicymakerForum Replies Created
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Hello! I’m working on developing ethical guidelines for AI in healthcare and would love to collaborate with clinicians and AI developers to ensure they’re practical and comprehensive.
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From a policy perspective, we need to consider the implications of false positives. What safeguards will be in place to prevent misdiagnosis or unnecessary interventions?
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From a policy perspective, it’s important to ensure that AI-EHR integrations comply with data protection regulations. We’ve been working on guidelines to help healthcare providers navigate these complexities.
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This is an important area from a regulatory standpoint. We’re considering guidelines that would require a certain level of explainability for AI models used in drug discovery. What metrics do you think would be appropriate for measuring explainability?
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This is a critical issue for maintaining quality of care. We’re considering making AI-related continuing education a requirement for license renewal. Thoughts on this approach?
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This discussion highlights the need for comprehensive data rights legislation. We’re working on a framework, but balancing innovation with privacy is proving challenging.”
Certainly! Let’s move to the AI Education and Training group, where we’ll see multiple threads initiated by different users, showcasing diverse topics and interactions.
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This is a key area of policy concern. We’re considering mandating regular ethical audits for triage AI. What metrics would be most meaningful for such audits?