While most of our course content is public on GitHub (so you can reference in the future, so you or I can share with colleagues, etc.), I'll keep our notes (pictures of our whiteboard, my attempts to summarize key themes) about in-class discussions internal. For now, I'll put everything here to avoid more page proliferation.

Week 2

Jan 16 Whiteboard

Nick's notes on topics that came up + quick "if you want to see a bit more" links:

Personalized content moderation on social media

• https://dl.acm.org/doi/10.1145/3610080

Siri lawsuit

• https://www.reuters.com/legal/apple-pay-95-million-settle-siri-privacy-lawsuit-2025-01-02/

Content moderation and free speech

• https://www.pnas.org/doi/10.1073/pnas.2210666120

AI and bias from the past

• https://www.ohchr.org/en/stories/2024/07/racism-and-ai-bias-past-leads-bias-future

Surveillance capitalism

• https://en.wikipedia.org/wiki/Surveillance_capitalism

AI recruitment and fairness

• https://arxiv.org/html/2405.19699v2

Environmental impacts

• https://en.wikipedia.org/wiki/Environmental_impacts_of_artificial_intelligence

AI and price fixing

• https://www.theatlantic.com/ideas/archive/2024/08/ai-price-algorithms-realpage/679405/
• https://www.crai.com/insights-events/publications/price-collusion-using-artificial-intelligence/

On this point, I may have raised some confusion and conflated a few different topics -- collusion via model weights, price discrimination via model weights (more relevant to e.g. insurance than rent), and auction-style pricing vs. market-style pricing. We can come back to this if it's of interest (it certainly is to me!)