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How to min­imise unwant­ed bias in algo­rithms? Islet­ter & soft­ware devel­op­er Sámuel Zeke explains how Arti­fi­cial Intel­li­gence can be biased.

AI sys­tems are only as good as the data we put into them. Bad data can con­tain implic­it racial, gen­der, or ide­o­log­i­cal bias­es. Many AI sys­tems will con­tin­ue to be trained using bad data, mak­ing this an ongo­ing problem.

Source: https://www.research.ibm.com/5‑in‑5/ai-and-bias/

#AI #BiasedAI #Arti­fi­cial­In­tel­li­gence #Dis­rup­tiveTech­nolo­gies #Emerg­ingTech­nolo­gies

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