AI Governance in Life Sciences: A Practical Framework
Executive Summary
A practical framework for governing AI in regulated life sciences: define intended use, control data and tools, capture traceable evidence, and apply human oversight according to risk.
Define intended use, ownership, controls, evidence, monitoring, and escalation paths for each AI-enabled workflow.
Accountable Expert:
TFives AI Governance Team
Last Reviewed:
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