Good Bias, Bad Bias

The video discusses the dual nature of bias, its impact on AI systems, and the importance of addressing bias to ensure fairness, robustness, and explainability. It emphasizes the need for ethical considerations and public discourse to align AI systems with societal values. The video also highlights the potential economic impact of AI and the necessity for cooperation among researchers, academia, and policymakers to mitigate bias.

What role does the speaker believe public discourse plays in addressing AI bias?

What is the significance of transparency in AI systems as discussed by the speaker?

In what ways does the speaker suggest AI can be used positively in engineering?

How does the speaker propose to measure and monitor bias in AI systems?