Absolutely, very well taken. More could probably be added. This is why we need an inter-disciplinary effort in the field of AI. Data will not "sort itself out" for most interesting and relevant problems (with long tails) like medicine. We need math + domain knowledge
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Agree, majority of time is spent on “Can we do this?”. Not enough reflection on “Should we do this?”
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Well understanding AI probably needs: -Advanced Abstract Algebra -Linear Algebra -Number&Graph Theory -Topology -Analysis&Measure Theory -Geometry -Category Theory -Propositional/Predicate Logic -Set Theory just warming up, you also need to know ;
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- Stochastic Models -Statistics -Probability Theory -Automata & Computability Theory -Cryptography & Analysis of Algorithms -Information Theory & Computational Complexity -Formal Language Theory -Functional Programming -Modal Logic that's just for starters...
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And sociology, and anthropology, ethnometodology, and...
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And social sciences...
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Yes! We need social science to understand the social impacts and ethical implications of these technologies. These are not abstract issues.
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and linguistics, and product management and HR -
#AI hard problems need a multi-disciplinary approachHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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