I’d wager there are daily goods that have far more exploitation than most people would be comfortable with.
But you are right in some cases things aren’t necessities and could probably be limited or cut out. That being said, there’s a morale / mental component too. For example, you don’t need that chocolate birthday cake for your sibling, parent, child, etc., but it is still is considered very important. If it wasn’t there, it could be considered a huge blow and/or insulting.
That sounds like ot could be a focused lesson. Why try to skirt around what the desired goal is?
That also could be placed into detecting if something is wrong with AI too. Teach people things to just help spot these errors.
In my experience, it’s so much more effective to learn how to find the answers and spot the issues than to memorize how to do everything. There’s too much now to know it all yourself.
The shopping cart one is better because it’s literally just barely more time / effort. Fair trade stuff can be expensive compared to their counterpart. People in rougher financial situations really can’t make that choice every time.
Wasn’t that due to someone manually activating it because they thought there was an actual credible threat?
Might be misremembering though.
Wouldn’t it make more sense to find ways on how to utilize the tool of AI and set up criteria that would incorporate the use of it?
There could still be classes / lectures that cover the more classical methods, but I remember being told “you won’t have a calculator in your pocket”.
My point use, they should prepping students for the skills to succeed with the tools they will have available and then give them the education to cover the gaps that AI can’t solve. For example, you basically need to review what the AI outputs for accuracy. So maybe a focus on reviewing output and better prompting techniques? Training on how to spot inaccuracies? Spotting possible bias in the system which is skewed by training data?
I feel like I just stumbled upon a self projection loop.