Last month, the National Telecommunications and Information Administration (NTIA) released a request for comment on Artificial Intelligence (AI) system accountability measures and policies. The request sought comments pertaining to both potential and existing self-regulatory, regulatory, and other measures designed to provide reliable evidence to external stakeholders that AI systems are legal, effective, ethical, safe, and otherwise trustworthy. Written by Nadya Bliss (Arizona State University), David Danks (University of California, San Diego), Maria Gini (University of Minnesota), Jamie Gorman (Arizona State University), William Gropp (University of Illinois), Madeline Hunter (Computing Community Consortium), Odest Chadwick Jenkins (University of Michigan), David Jensen (University of Massachusetts Amherst), Daniel Lopresti (Lehigh University), Bart Selman (Cornell […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘NTIA’
