Learning from other domains to advance AI evaluation and testing

Drawing on our analysis of eight case studies prepared by independent academic and industry experts, this white paper proposes next steps to address AI evaluation and testing challenges and opportunities by:

• Synthesizing insights from the eight case studies, also published separately, and
  extracting lessons relevant to AI (Part 1);
• Surveying key multistakeholder initiatives that are driving AI evaluation science and
  practice forward (Part 2); and
• Presenting recommendations for policymakers aiming to advance the AI evaluation and
  testing ecosystem and strengthen AI governance (Part 3)