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Reed, on the subject of AI Feasibility, a good term btw, The keynote speaker at the University of Missouri-Columbia's recent Celebration of Teaching Conference, Regan Gurung, suggested that we need to evaluate when to use or not use an AI based on what he called the FEAL framework:

Faster - can AI help us do the job faster, or is our skillset such that it would hinder us?

Ethical - can we use AI responsibly for a given task?

Accurate - how accurate is the AI in performing this task?

Learning - does using AI for a task help or hinder our learning?

I find that a useful start.

Of your other points, would you clarify what you mean by "machinations" in "machinations and functions of generative artificial intelligence" - that is unclear to me, particularly since machinations has a sinister connotation to me.

My biggest criticism of most of the AI literacy frameworks is that there is a lack of any larger contexts. I understand that they have to be focused, but I also believe they have to be embedded in an understanding of the history/sociology of technology and also in a broader understanding of intelligence, consciousness, and sentience across the natural world - a field of study that is constantly expanding and should affect both how we understand and use AI.

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Guy -

Wow! Awesome insights, and thank you for bringing Regan Guring to my attention.

"Machinations" is used to mean "how it works," and I used that word after discarding several others. "Nature" refers to what it IS. "Functions," which I use later in the phrase, refers to what it DOES. The word "machinations" refers to How it works, and reminds me that the tools are Machines. What word would you use?

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