Artificial Intelligence

3 steps businesses can take to reduce bias in AI systems

Calice Becker, a French master perfumer at Givaudan, interacts with 'Carto', an Artificial Intelligence powered tool, in Paris, France

Experts have proposed the prioritization of humans faced with technological advancement by working on three key areas. Image: REUTERS/Gonzalo Fuentes

Lorena Blasco-Arcas
Associate Professor of Marketing, ESCP Business School, Madrid Campus
Hsin-Hsuan (Meg) Lee
Associate Professor of Marketing, ESCP Business School, London Campus
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Minimising bias in AI is essential to building trust. Image: McKinsey&Company
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Artificial IntelligenceThe Digital Transformation of BusinessDiversity and Inclusion
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