The American Association for the Advancement of Science’s (AAAS) annual meeting brought together a community of leading scientists, educators, policymakers and journalists in February. Among those individuals were CCC council member Matthew Turk and former council member Suresh Venkatasubramanian. Turk, the president of the Toyota Technological Institute at Chicago and Venkatasubramanian, a professor of data science and computer science at Brown University, were featured in an article by the California Council on Science & Technology. As AI experts, they were asked about the role of states in providing guardrails for the use of AI and generative AI. Their response in the article emphasized how different attempts by states to address […]
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.
CCC Council Members featured in AAAS article
April 3rd, 2024 / in AAAS, CCC / by Petruce Jean-CharlesCCC Responds to the NTIA’s Request for Information on Dual Use Foundation AI Models with Widely Available Model Weights
April 2nd, 2024 / in AI, CCC / by Catherine GillLast week, the CCC responded to the National Telecommunications and Information Administration’s Request for Information on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights. The CCC’s own Daniel Lopresti (CCC Chair and Lehigh University) and David Danks (CCC Executive Committee and University of California, San Diego) helped author this response along with several other members of the computing community. Markus Buehler (Massachusetts Institute of Technology) and Duncan Watson-Parris (University of California, San Diego), who both spoke at the CCC sponsored AAAS panel this year, titled, Generative AI in Science: Promises and Pitfalls, both contributed to the RFI response, along with Casey Fiesler (University of Colorado, Boulder), who […]
CCC Responds to RFI on DOE’s Responsibilities on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
April 1st, 2024 / in AI, Announcements, CCC / by Haley GriffinToday, April 1, 2024, the CCC submitted a response to the Department of Energy (DOE)’s Request for Information (RFI) Related to Responsibilities on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. In the solicitation, DOE sought advice on their plan to carry out some of the responsibilities outlined for them in the October Executive order (E.O.), “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence”. The RFI response was written by the following CCC Council Members and staff: Nadya Bliss (Arizona State University), Haley Griffin (CCC), Michela Taufer (University of Tennessee, Knoxville), and Adam Wierman (California Institute of Technology). The authors were impressed with the DOE’s list […]
New SIAM Report Explores the Challenges Facing the Future of Computational Science
March 29th, 2024 / in Announcements / by Petruce Jean-CharlesIn 2023, the Society for Industrial and Applied Mathematics (SIAM), an affiliated professional society member of CRA, commissioned a task force to craft a strategic vision for arising challenges in the future of computational science. Earlier this month, the task force released its report, titled The Future of Computational Science. CCC is excited to highlight the importance and timeliness of this report in which many themes are confirmed by our visioning activities and reports. As cited in the report, the United States was the unquestioned leader in advanced computing and computational science. The task force states that in recent years that leadership has been challenged by strategic rivals. The Future […]
CCC @ AAAS 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part Two
March 27th, 2024 / in AAAS / by Haley GriffinCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. Today, we will summarize the highlights of the Q&A portion of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Below […]
CCC @ AAAS 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part One
March 26th, 2024 / in AAAS / by Haley GriffinCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. Today, we will summarize the highlights of the panelists presentations of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Large […]
