The headlines have mostly been about experimental AI models that have taken advantage of flawed rules and laboratory environments to do things they weren’t supposed to, and how that can be prevented. Industry self-regulation is a very weak mechanism when the developers are not competing to use AI for the greatest public good but to make the most money in the shortest time. AI can be used for good and it would be helpful to see more examples but I think it’s reasonable that the focus at the moment should be on where the biggest risks and potential for harm are.
This is the building I worked in when I first started work in 1960, and again, working for a different company, when I retired in 2010.
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A bit like keeping a car roadworthy. It depends on how you use AI. I've been more able to get the truth through it than any other sources. it Provides references and answers ANY questions or Questioning. Nev
What's a suburban football field without a concrete cricket pitch on halfway? Covered in winter with dirt so that it became a quagmire after winter rains.