Today, the White House, through the National Institute of Standards and Technology (NIST), issued a plan for Federal engagement in the development of technical standards for artificial intelligence (AI). The plan was called for as part of the national strategy for U.S. leadership in AI, the American AI Initiative, launched by Executive Order in February 2019. After receiving broad public input, the technical standards plan provides guidance for Federal agencies, the private sector, and the academic community in the development of technical standards and related tools in support of reliable, robust, and trustworthy AI systems, and identifies priorities for Federal government involvement and leadership in AI standards development. “The Trump […]

CCC Chair Mark D. Hill, CCC Vice-Chair Liz Bradley, and CCC Director Ann Schwartz Drobnis provided significant contributions to this post. The Computing Community Consortium (CCC) is pleased to release the completed Artificial Intelligence (AI) Roadmap, titled A 20-Year Community Roadmap for AI Research in the US! An HTML version is available here. This roadmap is the result of a year long effort by the CCC and over 100 members of the research community, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of AAAI). Comments on a draft report of this roadmap were requested in May 2019. Thank you to everyone in the […]

Through support from the Computing Community Consortium (CCC) the US National Robotics Roadmap was first created ten years ago by a group of 120 people from industry and academia. It has since been used by government agencies, universities and companies as a reference about where robotics is going. The first roadmap was published in 2009, then revised in 2013 and 2016. The objective is to publish the 4th version of the roadmap by summer 2020. The objective is to engage about 150-200 people from academia and industry to ensure that the roadmap is representative of the community’s view of where robotics is going. The roadmap will cover manufacturing, service, medical, first-responder, […]

Recently, the White House posted a Request for Information (RFI) inviting suggestions for improvements to Federal data and models needed to accelerate AI R&D and testing. See below for more details. Your responses, and/or those of your organization, would be valuable and much appreciated. FOR IMMEDIATE RELEASE July 10, 2019 Trump Administration Takes Action to Improve Federal Data and Models for Artificial Intelligence R&D Recently, the Trump Administration continued efforts to advance American leadership in artificial intelligence (AI) with the announcement of a Request for Information (RFI) to improve Federal data and models for AI research and development (R&D) and testing. As called for by President Trump’s national AI strategy […]

Contributions to this post were provided by Monica Lam and Jen King from Stanford University.  The New York Times recently published an article titled Stanford Team Aims at Alexa and Siri With a Privacy-Minded Alternative. Professor Monica Lam and her students, Giovanni Campagna, Silei Xu, Michael Fischer, and Mehrad Moradshahi, have developed a virtual assistant called Almond that can avoid surrendering personal information to a centralized service and encourage open competition among companies. She is joined by Stanford computer science researchers Michael Bernstein, Dan Boneh,  Jen King, James Landay, Chris Manning, and David Mazières, Chris Re in a newly funded NSF research grant to expand the capabilities and privacy protection […]

The Computing Community Consortium (CCC), in conjunction with Schmidt Futures, will sponsor and administer a white paper competition on the future of “CS for Social Good,” in order to harness CS to address societal challenges such as: Accelerating the transition to a low-carbon economy; Reducing the inter-generational transmission of poverty; Feeding 10 billion people while reducing the environmental footprint of agriculture; Reducing the time and cost for a low-income worker to gain a skill that is a ticket to the middle class; Using data to support evidence-based policy while protecting privacy and security; Reducing health care costs while maintaining or improving health outcomes; and Improving K-12 student learning outcomes in core academic subjects […]