Techtonic: AI’s inequality problem

Techtonic:  AI’s inequality problem - Digital

The world is becoming ever more dominated by artificial intelligence (AI). AI advocates and creators promise 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 are giving the keys to our society to a small group of companies that have shown they cannot be fully trusted.



Listen to other Techtonic episodes:

Internet shutdowns as a tool of control

The deepfake porn problem

AI and election integrity

Tracked by TikTok

Who controls Big Tech? 

Could you live without your phone?

Chat GPT and the fake Guardian article 

The artist suing AI giants

The small town paper raided by police