When Microsoft’s AI chatbot Tay descended into generating hate speech within 24 hours of its launch in 2016, it was viewed as a fascinating experiment gone wrong. Today, such a failure would be viewed as a corporate liability. As we venture further into the age of Generative AI, examining these failures is no longer just academically interesting—it is critical for legal survival.
Originally published at AI Ethics Case Studies: Lessons Learned from Real-World Failures
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