12:15 - 13:00 | AI & Data Science
ABOUT
Recent high-profile controversies around the user impact of biased or faulty AI have exposed common flaws at the design stage. In this session, Katie will explore the potential pitfalls of ML design and how to avoid them, and will showcase the importance of a human-centric approach to building an ethical and long-lasting AI strategy.
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