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- W3093530897 abstract "There is no doubt that Al is a massive force for good, both for society as a whole and for business. But, in delivery, it is imperative to embrace the right data and engineering to support the Al in its performance. What makes the algorithm good is if it learns 'fairly', removing any human bias from its operation. If it doesn't recognise this bias and have the ability to counter it, any new data reinforces that bias and the effect is amplified. Indeed removing human bias from systems and allowing an Al program to be not just artificially intelligent, but actually intelligent of its own accord, is the next step for AI." @default.
- W3093530897 created "2020-10-29" @default.
- W3093530897 creator A5043781083 @default.
- W3093530897 date "2020-03-01" @default.
- W3093530897 modified "2023-09-23" @default.
- W3093530897 title "Artificial Intelligence - Ethics. Let Al decide? [Engineering and Technology]" @default.
- W3093530897 doi "https://doi.org/10.1049/et.2020.0204" @default.
- W3093530897 hasPublicationYear "2020" @default.
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