Making Machine Learning Safer in High-Stakes Settings

 Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts where safety is of critical importance. Engineers anticipate that machine learning will enable new capabilities and efficiencies in these systems, but it also introduces risks. An autonomous vehicle may misperceive and strike a pedestrian, for example, or an autonomous robot in a factory might mistake a worker for an ... Read more...

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