Artificial Intelligence: Understanding and Addressing Bias
This video talks about AI and the various types of biases that we need to be aware of and monitoring when integrating emerging technologies. In today’s rapidly evolving technological landscape, where artificial intelligence (AI) and emerging technologies are reshaping industries, leaders face the complex challenge of guiding their teams toward innovation while simultaneously navigating biases in every aspect of the process. Successfully managing biases requires a knowledge-based approach to the various types. In this video, we talk about:
Sample bias
Label bias
Model pipeline bias
Application bias
Definitional bias, and
Survivorship bias.
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