When Algorithms Rule, Values Can Wither

Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.

Interest in the possibilities afforded by algorithms and big data continues to blossom as early adopters gain benefits from AI systems that automate decisions as varied as making customer recommendations, screening job applicants, detecting fraud, and optimizing logistical routes.1 But when AI applications fail, they can do so quite spectacularly.2

Consider the recent example of Australia’s “robodebt” scandal.3 In 2015, the Australian government established its Income Compliance Program, with the goal ...

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