In mid-January, OpenAI released an Economic Blueprint outlining policy proposals to enable American leadership in AI development. Along with guidance on testing frontier models for national security risks and suggestions on how the U.S. can take the lead in establishing international standards for AI regulation, the blueprint also focused on funding. The blueprint points to “an estimated $175 billion sitting in global funds awaiting investment in AI projects,” and notes that China is competing strongly for this funding as well.  Shortly after the OpenAI blueprint was released, President Trump announced the Stargate Project, which aims to invest up to $500 billion in AI infrastructure in the U.S. It is clear […]

In December 2024, the National Science Foundation (NSF) released a Request for Comments (RFC) seeking public input to inform the adoption of new Intellectual Property (IP) provisions that the agency intends to use in future public-private partnerships. CCC is very pleased to have the opportunity to contribute to this crucial conversation because effective IP management is essential for translating research into real world impact, and fair ownership policies are necessary to effectively engage all involved parties. Below is a breakdown of some key considerations that CCC members suggested to improve the implementation of the suggested IP provisions: The Importance of University Input Researchers at US universities make up a significant […]

Last week, CCC, in collaboration with CRA-Industry, submitted a Response to the National Telecommunications and Information Administration (NTIA), Department of Commerce’s Request for Comments: Ethical Guidelines for Research Using Pervasive Data. The response was written by Nazanin Andalibi (University of Michigan), David Danks (University of California, San Diego), Haley Griffin (Computing Research Association), Mary Lou Maher (Computing Research Association), Jessica McClearn (Google), Chinasa T. Okolo (The Brookings Institution), Manish Parashar (University of Utah), Jessica Pater (Parkview Health), Katie Siek (Indiana University), Tammy Toscos (Parkview Health), Helen V. Wright (Computing Research Association), and Pamela Wisniewski (Vanderbilt University).    The National Telecommunications and Information Administration (NTIA) was seeking, “public input on the […]

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 4, we hear from Dr. Mehmet Belviranli, an Assistant Professor of computer science at Colorado School of Mines, in his presentation, titled, “Taming Diversely Heterogeneous Compute Systems.”   Dr. Mehmet Belviranli rounded out the panel by discussing heterogeneous compute systems, and their role in accelerating computing. “Heterogeneous computing”, said Belviranli, “is any kind of computing, in addition to CPUs, that relies on other architectures […]

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 3, we hear from Dr. Jayson Lynch, a Research Scientist in the FutureTech lab at Massachusetts Institute of Technology, who explains the speed at which algorithms are improving.   Dr. Jayson Lynch began their presentation by addressing the cliffhanger that Manso ended on: how quickly are algorithms improving, and will these algorithms serve as partial solution to the growing need for compute? “The main […]

The CCC, on Friday of last week, responded to a Request for Information to assist NIST with executing the tasks assigned to them in the Executive Order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, issued on October 30, 2023. The CCC’s response raised critical points about the challenges associated with the widespread adoption of generative AI. The rapid advancement of AI tools poses risks, particularly in content authentication, where reliable detection methods are still lacking. The complexity of the problem demands a nuanced approach, acknowledging the limitations of current detection tools and emphasizing the need for flexible and adaptive solutions, especially as both AI detection tools […]