Who is at fault when systems powered by AI put humans in danger?

Woodrow Hartzog discusses his latest paper in which he and his co-authors offer a “theory of fault,” a new method of tracing back liability when autonomous systems go wrong.

"It’s difficult to assign fault when you’re dealing with autonomous systems because they can act in unpredictable ways—it can be challenging to predict how a driverless car with an automated decision-making system is going to react in every scenario,” Hartzog said.

Read more in News@Northeastern.