4min chapter

Machine Learning Street Talk (MLST) cover image

#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

Machine Learning Street Talk (MLST)

CHAPTER

The Ethics of AI

ethics in AI seems to suffer from a similar form of fractionation. Different people with different beliefs think that it should be enforced in different ways what's the solution well i'd take a sort of deflationary approach um and it won't be a terribly informed approach but you know my answer would be well if you get the right optimization then that kind of question just goes away. The only agenda in sharing beliefs is to resolve curiosity so  i cannot prescribe what you should do or what an intelligent artifact should do other than put constraints on every kinds of outcomes that you expect to encounter, he says.

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