Creating a Tool to Reproducibly Estimate the Ethical Impact of Artificial Intelligence
September 26, 2019 | By Sara Jordan, Sina Fazelpour, Adriano Koshiyama, Jaky Kueper, Chad DeChant, Brenda Leong, Gary Marchant and Craig Shank
How can an organization systematically and reproducibly measure the ethical impact of its AI-enabled platforms?1 Organizations that create applications enhanced by artificial intelligence and machine learning (AI/ML) are increasingly asked to review the ethical impact of their work.
READ MORECould AI drive transformative social progress? What would this require?
September 26, 2019 | By Edward Parson, Robert Lempert, Ben Armstrong, Evan Crothers, Chad DeChant and Nick Novelli
The potential societal impacts of artificial intelligence (AI) and related technologies are so vast, they are often likened to those of past transformative technological changes such as the industrial or agricultural revolutions. They are also deeply uncertain, presenting a wide range of possibilities for good or ill – as indeed the diverse technologies lumped under the term AI are themselves diffuse, labile, and uncertain.
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