Unpacking Model Bias
Sarah delves into the complexities of model bias and fairness, emphasizing the need to mitigate bias through automatic processes. She highlights the challenges of underrepresented attributes and the importance of early identification to reshape decision boundaries in neural networks.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Related Questions