AI 问责制计划中新兴的最佳实践.pdf

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1、Emerging Best Practices in AI Accountability ProgramsBUILDING ACCOUNTABLE AI PROGRAMS:MAPPING EMERGING BEST PRACTICES TO THE CIPL ACCOUNTABILITY FRAMEWORKIAPP Data Protection Intensive:UK 2024TOP 10 FINDINGS FROM CIPLS REPORT ON ACCOUNTABLE AI PROGRAMSAI transformation,coupled with accountability in

2、 AI,is a top priority and business imperative1Accountable governance of AI is a smart business investment for long-term sustainable and competitive business2“Tone from the top”is crucial for responsible AI programs3Guidance from regulators and policymakers is welcome as organizations prepare to impl

3、ement emerging standards and regulations4A risk-based,technology-agnostic approach is the most effective and appropriate approach for AI governance5Convergence around common AI-related terminology is urgent and essential6Organizations are adapting and updating their governance frameworks to address

4、new issues and risks,including those raised by generative AI(GenAI)7Multidisciplinary and diverse teams are the foundation for building and implementing accountable AI governance programs8There is great value in building consensus on the appropriate elements of accountable AI governance and benchmar

5、king against peers9Accountable development and deployment of AI is a continuous journey and an iterative process10CIPLS ACCOUNTABILITY FRAMEWORK IN PRACTICE:ELEMENTS OF ACCOUNTABLE AI PROGRAMSAccountabilityEffective compliance,business sustainability,protection for individualsRisk AssessmentPolicies

6、 and ProceduresTransparencyTraining and AwarenessMonitoring and VerificationResponse and EnforcementLeadership and OversightImplementing protective,mitigating measures proportional to the likelihood and severity of the risks of harm while enabling the benefits of AI technologiesC