Most commented posts
- Proposal — 1 comment
- Week 2 Readings — 1 comment
- Week 4 Readings — 1 comment
Oct 08
Chiang, ChatGPT Is a Blurry JPEG of the Web – I really liked the blurry JPEG example Chiang used because it made his idea so much easier to understand. A JPEG can look clear while losing information and Chiang compares this to how ChatGPT can give us a clear answer that is not always accurate. …
Sep 29
Crawford, Atlas of AI (Excerpt) – This reading made me think about how people can create technology without thinking about the people who could be affected by it. I was surprised that some AI researchers can work with information about real people without having to go through the same ethics reviews as other types of …
Sep 29
Crawford, Kate, NY Times, “Artifical Intelligence’s White Guy Problem” – This reading taught me that AI can have the same biases that people have. I was surprised that technology that seems smart can still make serious mistakes like misidentifying Black people or giving some people fewer job ads based on their gender. I also learned …
Sep 29
For my Critical AI Analysis Paper, I plan to study the Spotify recommendation algorithm. I chose Spotify topic because I use it to listen to music a lot and I really want to understand how it decides what songs and artists to recommend to me. The recommendations can feel personal because Spotify uses information about …