In this piece, I'm *trying* to frame what I understand the work is in supporting faculty around #GenerativeAI...thoughts?

https://open.substack.com/pub/aiedusimplified/p/the-gaps-to-fill-in-supporting-faculty?r=22i1m&utm_campaign=post&utm_medium=web

#HigherEd #Academia #EdTech #ChatGPT #AIEducation #FacDev #Teaching #Learning

@academicchatter @edutooters

A lot of people ask me about how to identify disinformation and what to do about it — both of which are important questions — but I think the real challenge we’re facing now is: How do we identify truth?

There is no single answer, but I believe the best place to start is to look for the nuance and complexity; this is where truth lives. (Hence why propaganda and disinformation seek to degrade and destroy the very notion of nuance.)

The excerpts and reviews I've seen of the Musk biography are sufficient reason to avoid it. This perceptive piece in The Verge is asking the questions Isaacson failed to ask https://www.theverge.com/2023/10/1/23895069/walter-isaacson-biography-musk-review (via @enkerli)

"If Musk cared more about the team around him, what else could he have accomplished by now? Is achieving the specific vision Musk has for the world worth the injuries he’s inflicted on his workforce? Do we want this particular man’s vision of the future at all?

"[L]arge language models — the technology underpinning AI tools like ChatGPT — are simply trained to 'produce a plausible sounding answer' to user prompts. 'So, in that sense, any plausible-sounding answer, whether it’s accurate or factual or made up or not, is a reasonable answer, and that’s what it produces. There is no knowledge of truth there.'”

https://www.cnn.com/2023/08/29/tech/ai-chatbot-hallucinations/index.html

#AI #ChatGPT

Wednesday: Pierre Poilievre holds a presser in a gas station boosting his axe-the-carbon-tax tour. #FossilFuels #ClimateCrisis

Friday: Kelowna, BC #cdnpoli