What are some notable examples of AI failures due to bad data?
One famous example is the Microsoft Tay chatbot, which started to post offensive tweets after learning from users' interactions.
What went wrong with Tay specifically?
Tay was designed to learn from conversations, but it quickly picked up inappropriate language and behavior from users.
Are there other examples in different industries?
Yes, in healthcare, an AI system misdiagnosed patients because it was trained on biased data that didn't represent all demographics.
How can we prevent these failures in the future?
To prevent such failures, it's crucial to ensure diverse and representative training data, along with continuous monitoring.
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