It really depends on which externalities you’re talking about
The only one I can think of as ‘inherent’ is the ethical concern over copyright. The others are more broadly related to the commercialization of the tool than to the tool itself.
I’d agree with you if you mean that what has been marketed as AI to us is inherently bad. That said the word AI has been misused so much that is basically has no meaning. I’ve known researchers who have used things that can be called AI for really important research and it could run on a high end computer from 10 years ago. The externalities of that are quite minimal to what we gain. We really need to find language to discuss AI where when we talk about Big AI we’re not also dragging the proven, and efficient models which are nearly AI but not quite into the discussion.
AI is inherently bad. It might be useful, but their externalities are quite inherent to it.
It really depends on which externalities you’re talking about
The only one I can think of as ‘inherent’ is the ethical concern over copyright. The others are more broadly related to the commercialization of the tool than to the tool itself.
Perfectly put. I’ve expended paragraphs circling this succinct point.
I’d agree with you if you mean that what has been marketed as AI to us is inherently bad. That said the word AI has been misused so much that is basically has no meaning. I’ve known researchers who have used things that can be called AI for really important research and it could run on a high end computer from 10 years ago. The externalities of that are quite minimal to what we gain. We really need to find language to discuss AI where when we talk about Big AI we’re not also dragging the proven, and efficient models which are nearly AI but not quite into the discussion.