Risks and Biases in AI

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AI can make brilliant moves and advance goals in a game context.
However, in complex real-world contexts, these moves may have unintended side effects and risks.
Amazon's AI hiring algorithm was biased towards men due to flawed patterns it learned from past resumes.
AI training methods have led to problems, such as self-driving cars lacking data on jaywalkers and a photo app misidentifying black individuals.
If AI is trained on biased data, it can perpetuate unfair processes and decisions.
Despite the risks, more companies are using AI for important decision-making.

Tech companies are racing to make new, transformative AI tools, with little to no safeguards in place. This is the second episode of “The Black Box,” a two-part series from Unexplainable.

This episode was reported and produced by Noam Hassenfeld, edited by Brian Resnick and Katherine Wells with help Meradith Hoddinott, and fact-checked by Tien Nguyen. It was mixed and sound designed by Vince Fairchild with help from Cristian Ayala. Music by Noam Hassenfeld.

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