There is no ethical way to use AI. At least not the Large Language Models (LLMs) we’re mostly talking about these days when we talk about AI. I’m going to unpack that in a moment, but first let me stress that I am not, for a moment, calling teachers who use AI unethical. The ethical responsibility here does not lie with users of LLMs. It lies firmly with the industry that has created and promoted the use of these machines in wholly unethical ways.
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But What If…?
What if we were brave enough to value the things that actually matter?
Prove it
It’s easy to get caught up in the hype, to buy a product, buy into the idea, plan classroom activities, or even invest in the company, that makes the most attractive claims. But there’s a two word sentence that could protect us, if only we wielded it more often. Prove it.
Do you see what I see?
As a young adult, I used to play a game I called The Accent Game. I have an unusual accent, and no one can ever figure out quite where I'm from. When people asked, I'd ask them to guess, and note their response. I only took first guesses, but I stopped counting when I got… Continue reading Do you see what I see?
The Toddler Guide to the Broligarchy
Remember the Toddler Laws of Ownership, by Kevin McHugh? They perfectly encapsulate the Broligarchy's attitude to data: "1. If I like it, it’s mine. 2. If it’s in my hand, it’s mine. 3. If I can take it from you, it’s mine. 4. If I had it a little while ago, it’s mine. 5. If… Continue reading The Toddler Guide to the Broligarchy