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Learning from AI Failures
This chapter examines lessons from public failures in generative AI, including incidents involving Microsoft's Tay and Google. It stresses the need for adaptive testing and robust safety measures to manage unintended AI behaviors, highlighting the importance of human judgment in evaluating acceptable performance. Additionally, it explores strategies for effectively communicating AI capabilities and limitations to users, aiming to enhance user experience through improved interaction design.