Published Jan 10, 2019
Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219
Solon Barocas delves into the complex landscape of model interpretability, examining the balance between accuracy and transparency, and its pressing legal implications. He navigates the ethical challenges of machine learning, stressing the need for fairness and new ethical frameworks to address bias and regulatory demands in AI.
