Summary
In the video, the speakers delve into the topic of biases in AI systems caused by inequalities in data sets. They discuss how these biases can perpetuate existing social inequalities and impact the outcomes of AI algorithms. The video sheds light on the importance of addressing these biases to ensure fair and equitable AI applications. Viewers are encouraged to consider the implications of biased data on AI decision-making processes and the need for diverse and representative data sets.
Chapters
Introduction
Introduction of the speakers and the topic of biases in AI systems due to inequalities in data sets.
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