
How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.