Global Editions

When algorithms mess up, the nearest human gets the blame

A look at historical case studies shows us how we handle the liability of automated systems.
by Karen Hao

Earlier this month, Bloomberg published an article about an unfolding lawsuit over investments lost by an algorithm. A Hong Kong tycoon lost more than $20 million after entrusting part of his fortune to an automated platform. Without a legal framework to sue the technology, he placed the blame on the nearest human: the man who sold it to him.

Read more on technologyreview.com.

اسے اردو میں پڑھیں

Authors
Top