The Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO), on behalf of the Office of Science and Technology Policy (OSTP), has issued a request for information (RFI) seeking input on the development of the 2025 National Artificial Intelligence (AI) Research and Development (R&D) Strategic Plan. This is a crucial opportunity for the computing community to help shape the future of AI research in the United States.  The Computing Community Consortium (CCC) intends to submit a response to this RFI as a follow-up to our February response to the RFI on the Development of an Artificial Intelligence (AI) Action Plan. We encourage members of the computing community […]

As artificial intelligence (AI) continues to influence nearly every sector of society, institutions across academia, government, and industry are recognizing the need for dedicated leadership to guide the responsible development and application of these technologies. One emerging trend is the creation of Chief AI Officer roles, positions tasked with coordinating AI research, applications, and policy across complex organizations. At the University of Utah, Computing Community Consortium (CCC) Council member Manish Parashar was recently appointed as the University’s inaugural Chief AI Officer. In this role, he leads AI strategy and engagements and coordinates its execution across the university, including through the One-U Responsible AI Initiative (One-U RAI). That initiative aims to […]

  The Computing Community Consortium (CCC) is excited to announce the release of a new joint whitepaper with CRA-Industry, The Future of Programming in the Age of Large Language Models. A collaborative effort of leading experts in academia and industry Arjun Guha (Northeastern University) and Ben Zorn (Microsoft), this paper delves into the profound impact of large language models (LLMs) on the landscape of software development and computing education. In just a few short years, LLMs have evolved from research curiosities to powerful tools wielded by computing professionals, integrated into educational curricula, and driving new avenues of research. This rapid adoption has fundamentally shifted how we approach programming and how […]

The Computing Community Consortium (CCC) is very pleased to announce the release of the final report in the workshop series on enabling research collaborations between Artificial Intelligence (AI) and Operations Research (OR) experts. This workshop series, first proposed in 2020, recognized the significant progress made in Artificial Intelligence research in recent years, especially in areas such as machine learning. However, it also noted the advances in optimization and decision-making made within AI, areas where the deep expertise of Operations Research is invaluable. Recognizing the complementary strengths of these two fields and the potential for significant societal impact through their synergy, the workshop series aimed to bridge this gap.   “From […]

On March 18, 2025, the Joint California Policy Working Group on AI Frontier Models released a draft report that could help shape how the state navigates the rapidly evolving landscape of artificial intelligence (AI). Commissioned by Governor Gavin Newsom in September 2024, the report is the result of a collaboration between three prominent figures in academia and policy: Fei-Fei Li, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence; Mariano-Florentino Cuéllar, President of the Carnegie Endowment for International Peace; and Jennifer Tour Chayes, Dean of the UC Berkeley College of Computing, Data Science, and Society. How California decides to tackle oversight of AI — both in terms of fostering innovation […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 2, we hear from Gabriel Manso, a first year PhD student at Massachusetts Institute of Technology, who explains the computational limits of deep learning.   Gabriel Manso, a first-year PhD student at MIT and a member of the MIT FutureTech research group, discussed the computational limits of deep learning along with insights from his research. Deep learning is pervasive across most areas of science […]