The provided sources outline a comprehensive, step-by-step approach to conducting an AI risk assessment, emphasizing its importance for organizational protection and trust-building. They detail a nine-step process, starting with defining the AI system and mapping data sources, then moving to identifying and assessing potential risks like bias, privacy violations, and security vulnerabilities. The process also includes documenting existing controls, planning mitigations for identified gaps, and formalizing findings in a risk register. Crucially, it highlights the need for executive sign-off and continuous monitoring and review to manage evolving AI systems effectively.
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