Fair Algorithms: Regulation and Reality

In this episode of "AI in 5,4,3,2,1" we explore how companies can ensure fair and non-discriminatory generative AI models. - Discovering biases in AI models and their harmful effects through real-world examples. - Introduction to the COMPL-AI framework for measuring and improving the fairness of AI solutions. - Strategies for diversifying datasets and training teams in recognizing and avoiding bias. - Practical examples and best practices from large tech companies to promote inclusion. For more information, visit https://leadersofai.com and https://compl-ai.org/