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Fortune
Fortune
Jay Ganglani

Data activist Renée Cummings says there’s an important question to ask when making responsible AI: ‘Where did this data come from?’

(Credit: Lucas Schifres for Fortune)

One of AI’s thorniest issues is ensuring the new technology doesn’t end up reflecting all the same biases of its human creators have. Generative AI, trained on massive amounts of data, is compounding the problem, rather than mitigating it, as models deliver answers that align with pervasive prejudices about different races and genders.

Data activist Renée Cummings, at Fortune’s Brainstorm Design event in Macau on Thursday, argued that the core of the issue is data. “We know that AI is a revolutionary technology, we know that AI is a radical technology, but we have to understand that there is no AI without data,” she said. 

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