This is a thought-provoking futurist discussion of how the #AIuniversity could look like
https://aiandacademia.substack.com/p/one-vision-of-the-future-of-ai-in
via @bryanalexandee
However, it doesn't address important parts of the picture. As @kate suggests, the place of research students (and academic research in general) is not mentioned. There are also well-known limitations such as copyright, hallucinations, energy consumption, not to mention AI decay (https://hdsr.mitpress.mit.edu/pub/y95zitmz/release/2),...
We invite you to discuss these with us at #AIED
To clarify, both Latham and Bryan mention research as a practice:
“Outside of the classroom Latham imagines AI playing more of a role in scholarship, including accelerating research and improving logistical processes. As part of that grantors will want to see more AI in applications.”
This still leaves us with the predicament of research as academic career training when there are no more academic careers.
@kate @bryanalexandee thanks for the needed clarification, but I'd like to see a more meaningful discussion, less on the logistics and more on the possibilities of pushing the frontiers of knowledge
@dsail @kate @bryanalexandee ...and, yes, this is part of it:
"Interestingly, the author is bullish on humanities faculty, because “as AI fully assimilates itself into society, the ethical, moral, and legal questions will bring the humanities to the forefront.”"
...continuing the conversation my personal account
@bryanalexandee @dsail @kate sorry, I didn't explain myself well. Thar part of the comment was to say that I am the same person that posted the D-SAIL statuses. It does refer to the comment you're responding to.
In any case, while you discuss the vision of AI university, the D-SAIL workshop is about how we are getting there. So we certainly have a long-term shared interest.
@bryanalexandee @dsail @kate I'm a computer scientist embedded in a humanities department. Just yesterday we had a roundtable of how different colleagues are using GenAI tools. This is very exciting, but we are now at the moment when we need to be more systematic in what we do, so that we can separate perceptions (heavily influenced by AI marketing and wishful thinking) from actual evidence.
