MITRE hosted an AI Assurance Summit to discuss the challenges, maturity, and future of AI assurance. The summit emphasized the need for robust AI assurance processes to manage risks, ensure public trust, and maximize the effectiveness of AI applications in various government sectors.
AI Assurance—Challenges, Maturity, and Paths Forward
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What’s the issue? Artificial intelligence is becoming increasingly integrated into various sectors, creating an urgent need for robust assurance processes to manage associated risks and maintain public trust.
What did we do? MITRE hosted an AI Assurance Summit, connecting AI leaders from multiple federal agencies to discuss this issue.
What did we find? The summit found that AI assurance is crucial for aligning mission needs with new AI capabilities, ensuring reliable human-machine systems, and fostering public trust. It highlighted the need for a nationwide network of assurance labs and the importance of starting with assurance in AI development. Lastly, it emphasized the importance of creating safe, mission-driven experimental environments for testing and validating AI use cases.