We have discussed several issues about the broader context and implications of AI, but there is far more than we have time to discuss, especially if you’re not continuing with us to CS 376. So we will teach each other! This discussion will be an opportunity to address [Overall-Impact].
Initial Posts
- Choose a topic that you find interesting or important about the broader context and implications of AI. There’s a list at the bottom of this page, but feel free to choose something else. Send a Teams message to the instructor mentioning your choice of topic before you get started.
- Do a bit of research on the topic:
- Have a discussion with an LLM about the topic to identify key issues and keywords to search for. In your conversation, include a bit about why you think the topic is interesting or important.
- Who are the stakeholders involved in the topic?
- Find at least one (ideally more) reputable source that discusses the topic. Send a Teams message to the instructor if you need any help here or aren’t sure if a source is reputable. Our course Perusall has a lot of resources in the Library and there are a lot more that I haven’t yet loaded in; just ask.
- Write a post where you:
- Very briefly introduce the topic and why you think it’s important or interesting.
- Summarize the key issues and evidence from your source(s).
- Raise at least one question that your colleagues might discuss in response.
Avoid generalities. Ask an LLM “write a 100 word statement about the social implications AI and ____”… and then resolve to make your post more interesting than that.
Responses
Then, respond to some peers’ posts. In your responses, you might:
- Address the question that your peer raised
- Suggest a different perspective on the topic
- Bring in an additional source or a related topic
- Connect the topic to something we’ve discussed elsewhere in this course
etc.
Ideas for Topics
- AI and the future of work (see this page from last year)
- Environmental impacts (power, water, minerals, embedded CO2, etc.)
- AI in healthcare (page from past years)
- Privacy (e.g., facial recognition, page from past years)
- Autonomous vehicles (page from past years)
- intellectual property and copyright
- creativity (art, music, writing, etc.)
- Education
- Economic impacts
- Politics
- Journalism (mis/disinformation, filter bubbles, trust in institutions, etc.)