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 ‘NSCAI

 

Watch “The Artificial Intelligence Era: What will the future look like?”

May 11th, 2021 / in AI, CS education, pipeline / by Khari Douglas

Recently, the Bulletin of the Atomic Scientists — a media organization that “equips the public, policymakers, and scientists with the information needed to reduce man-made threats to our existence” and is famous for their Doomsday Clock — held a virtual program titled, “The Artificial Intelligence Era: What will the future look like.”  Nadya Bliss, a Computing Community Consortium (CCC) Executive Council member and the Executive Director of the Global Security Initiative at Arizona State University, moderated the program. The speakers were Eric Horvitz, Chief Scientific Officer at Microsoft and a former CCC Council member, and Mary (Missy) Cummings, the director of Duke’s Humans and Autonomy Laboratory and a co-organizer of […]

Artificial Intelligence is Critical to National Security, Defense, U.S. Economy, and Worthy of Significant New Investment, Congressionally-chartered Commission Argues in Final Report

March 1st, 2021 / in AI, Announcements / by Helen Wright

The National Security Commission on Artificial Intelligence, a congressionally-chartered committee charged with reviewing AI and related technologies and making recommendations to address U.S. national security and defense needs, today released its final report, endorsing significant new investments in AI research, strategies for building the AI workforce, and guidance for using AI in warfare while upholding U.S. democratic values. The report is likely to inform policy activity around defense-related AI issues in Congress and at the Department of Defense over the next months and years. Computing Research Association (CRA) Government Affairs Director, Peter Harsha and Nadya T. Bliss, Executive Director of ASU’s Global Security Institute and Computing Community Consortium (CCC) Executive […]

Thoughts on the NSCAI’s First Quarter Recommendations from the Computing Community Consortium’s FADE Task Force

June 29th, 2020 / in Announcements, CCC / by Helen Wright

Contributions to this post were provided by members of the Computing Community Consortium (CCC) Fairness, Accountability, Disinformation, and Explainability (FADE) Task Force.  The National Security Commision on Artificial Intelligence (NSCAI) published a report outlining their recommendations to address challenges arising out of the expanding AI landscape – most notably the awareness of an AI competition amongst the world powers and the need for the United States to win this AI race. The recommendations spell out what the NSCAI believes will accelerate U.S performance in AI and strengthen our national security and economy. The following is a look at some key points of the recommendation report from the perspective of the […]

National Security Commission on AI (NSCAI) Interim Report- Public Conference Calls

November 13th, 2019 / in AI, Announcements, research horizons, Research News / by Helen Wright

Last week, we shared the National Security Commission on AI‘s Interim Report as well as details about the corresponding conference held on November 6, Strength Through Innovation: Artificial Intelligence and the Future of U.S. National Security. The Commission now welcomes feedback and is looking forward to continuing to engage with the community as they move into the analysis and recommendation phase of the Commission’s work. To that end, they will be holding a series of teleconferences to provide a deeper dive into the interim report content and gather your feedback. Please join them on one of the following dates for these discussions: LOE 1: Invest in AI R&D, Thursday, November 21, […]