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Session Description
In this session experts in the field will discuss the underlying causes of bias in AI systems- such as the human touch, biased training data and algorithmic biases. Attendees will gain insights into the various approaches and techniques used to detect and mitigate bias in AI systems, as well as the limitations and potential unintended consequences of these efforts. One question is whether we can teach AI to detect bias, assisting the reduction or removal of these biases in it’s systems. Through this thought-provoking discussion we will provide a deeper understanding of the complexities surrounding bias in AI and the ongoing efforts to eliminate it.