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The Conversation
The Conversation
Aidan Kierans, Ph.D. Student in Computer Science and Engineering, University of Connecticut

Getting AIs working toward human goals − study shows how to measure misalignment

Self-driving cars are only one example where it's tricky but critical to align AI and human goals. AP Photo/Michael Liedtke

Ideally, artificial intelligence agents aim to help humans, but what does that mean when humans want conflicting things? My colleagues and I have come up with a way to measure the alignment of the goals of a group of humans and AI agents.

The alignment problem – making sure that AI systems act according to human values – has become more urgent as AI capabilities grow exponentially. But aligning AI to humanity seems impossible in the real world because everyone has their own priorities. For example, a pedestrian might want a self-driving car to slam on the brakes if an accident seems likely, but a passenger in the car might prefer to swerve.

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