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AI and deep learning systems operate within a series of laws, regulations, obligations and user expectations which may not be considered by developers but are significant risks. The talk will focus on how these risk factors intersect with AI/deep learning systems and lessons learned from AI systems found to have inherent bias. Through case studies, learn how to deal with these important risks to AI projects.
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