Note: Post image created with Adobe Firefly. I’ve been thinking about what education should and shouldn’t be, particularly with the flood of AI talk. How we use technological tools for teaching and learning has been a major area of research for decades, but not much has actually changed in schools. I recently read an article […]
Image (including embedded bias) created by ChatGPT 4 and Dall-E 3. Last week I wrote a post about the bias in ChatGPT–specifically how it adjusts writing scores in response to student descriptions. I illustrated how ChatGPT 3.5 scored a writing passage higher when it was told the imaginary writer preferred classical music, and lower for […]
*Cover image created with ChatGPT4, Dall-E3, and Adobe Firefly I recently had a discussion about “generative learning.” It was a phrase I hadn’t heard before. A bit of research and I found it that it is, indeed, a thing–and it was a thing before the generative AI shockwave of 2022. Although it was interesting to […]
Sometimes my attempts to understand ChatGPT go down strange paths. While talking with a friend about bias in AI yesterday (yes, this occurs frequently in my life), college rivalries came up. And what could be cooler than having ChatGPT confirm my firm belief that Brigham Young University is superior to the University of Utah? In […]
Note: Cover image (including embedded racial bias) from Dall-E 3 via ChatGPT4.0 I’ve been doing some random tests with ChatGPT and other large-language models (LLMs) (some perhaps a bit more meaningful than last week’s Benford’s Law…). Today’s exploration: If I tell ChatGPT that something is written by a student who likes rap music–vs classical music–will […]
While on a walk the other day, I was listening to a (rebroadcasted) episode of RadioLab: During the episode, they discuss Benford’s Law–that in many contexts, there are more numbers that start with lower digits (1, 2, etc.) than higher digits (8, 9, etc.): This law holds for river length, population growth, stock prices, and […]