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 ‘RFI

 

The CCC Responds to OSTP’s Request for Information on National Priorities for AI

July 24th, 2023 / in AI, Announcements / by Maddy Hunter

In May 2023, the Office of Science and Technology (OSTP) published a request for information on to inform the Biden-Harris Administration development of a National Artificial Intelligence (AI) Strategy. The strategy will chart a path for the United States to harness the benefits and mitigate the risks of AI and build on the actions that the Federal Government have already taken to responsibly advance the development and use of AI. Public comments will go towards helping to update U.S. national priorities and future actions on AI. You can read the Computing Community Consortium’s (CCC) response here. The CCC’s response focused on promoting academic research’s role in the research ecosystem, as […]

CCC Responds to NTIA Request for Comment on AI Accountability Policy

June 22nd, 2023 / in AI, Announcements, CCC / by Maddy Hunter

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 […]

Community Response to RFI on Incentives, Infrastructure, and Research and Development Needs To Support a Strong Domestic Semiconductor Industry

March 30th, 2022 / in Announcements, CCC, research horizons / by Haley Griffin

The Computing Community Consortium (CCC) with input from CRA-Industry recently responded to the Department of Commerce and the National Institute of Standards and Technology’s Request for Information on Incentives, Infrastructure, and Research and Development Needs to Support a Strong Domestic Semiconductor Industry. The RFI was seeking information in order to inform the planning and design of potential programs to: Incentivize investment in semiconductor manufacturing facilities and associated ecosystems; provide for shared infrastructure to accelerate semiconductor research, development, and prototyping; and support research related to advanced packaging and advanced metrology to ensure a robust domestic semiconductor industry.  This response was written by Tom Conte (Georgia Tech), Nadya Bliss (Arizona State University), […]

NITRD NCO and NSF RFI – Federal Priorities for Information Integrity Research and Development

March 21st, 2022 / in CCC-led white papers, NSF, Quad Paper, research horizons, Security / by Maddy Hunter

The Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO) and the National Science Foundation (NSF) recently released a request for information (RFI) on Federal Priorities for Information Integrity Research and Development. The purpose of the RFI is to gain input on how to “enable research and development activities to advance the trustworthiness of information, mitigate the effects of information manipulation, and foster an environment of trust and resilience in which individuals can be discerning consumers of information.” There is so much information on the internet these days and so few ways for the general public to verify what is true and what is not. This has […]

OSTP’s Continuing Work on AI Technology and Uses that Can Benefit Us All

February 15th, 2022 / in AI, policy, research horizons / by Maddy Hunter

This blog was originally posted by Lynne Parker, Director, National AI Initiative Office, and Rashida Richardson, Senior Policy Advisor for Data and Democracy on the Office of Science and Technology Policy (OSTP) blog. Artificial Intelligence (AI) is becoming more prevalent in all of our lives. It powers all kinds of tools, from the digital assistants that answer questions on your phone, to breakthroughs in reading X-rays to better spot cancers. The so-called “intelligence” is the result of powerful computers sorting through mountains of data to find patterns, using algorithms designed and optimized by computer scientists. Like all technology, AI is far from perfect. As we have started using AI for […]

OSTP RFI – Public and Private Sector Uses of Biometric Technologies

November 9th, 2021 / in research horizons, Research News, Uncategorized / by Maddy Hunter

The Office of Science and Technology Policy (OSTP) put out a Request for Information (RFI) on uses of biometric technologies in the public and private sector. Concerns are growing with the increasing number of applications and domains using biometric information to determine identification or inference of emotion, disposition, character, or intent. As a result, OSTP is requesting input from interested parties past deployments, proposals, pilots, or trials, and current use of biometric technologies for the aforementioned purposes. In this case, a “biometric technology” is broadly referred to as a system that uses biometric information for the purpose of recognition or inference. Community responses will be used to understand the current landscape of […]