The Social Implications of Machine Learning

The video discusses AI bias, highlighting its presence in image searches, hiring, and predictive policing. It explores automation bias, the perception of AI as objective, and the impact of diversity on AI systems. The video also addresses government accountability and the need for public disclosure of AI systems. Audience questions focus on data transparency and ethical AI practices.

What examples of marginalized communities affected by AI bias are provided?

What is the significance of diversity in the development of AI systems?

How does the speaker view the role of algorithmic auditors?

What are the challenges mentioned regarding data collection from smaller organizations?