Addressing Bias

Explore the potential fixes for societal biases embedded in AI systems, including examining data sets for structural biases and utilizing counterfactual fairness. The importance of diverse perspectives in the development process is emphasized, along with the ongoing debate between testing in real-world scenarios versus extensive training runs.