AI's inequality problem

The world grows ever more dominated by artificial intelligence. We’re promised huge productivity gains and streamlining benefits to make our lives easier, but there are significant drawbacks. 

The data underpinning AI is biased, the technology can amplify inequalities, and it's unclear who will set crucial standards for the sector and how they will be imposed.

In this episode, host Chris Stokel-Walker speaks to Rumman Chowdhury, Responsible AI Fellow at Harvard University’s Berkman Klein Center, who has long been a campaigner for equality in technology. She fears we’re giving the keys to our society to a small group of companies that have shown they can’t be fully trusted.

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