As artificial intelligence (AI) has become increasingly ubiquitous across domains, the need for it to be reliably secure has only grown. Yet in many ways, ensuring the security of AI agents is fundamentally different from the cybersecurity challenges of the past. To address this growing challenge, the U.S. Center for AI Standards and Innovation (CAISI), housed within the National Institute of Standards and Technology (NIST) at the Department of Commerce, released a Request for Information (RFI) on practices and methodologies for measuring and improving the secure development and deployment of AI agent systems. The Computing Community Consortium (CCC) and Computing Research Association (CRA) recently submitted a response to this RFI, […]

Citizen science projects have contributed to scientific progress across disciplines. From users mapping biodiversity on iNaturalist, to analyzing protein folding configurations to advance drug discovery on Foldit, to discovering new planets on Zooniverse, we have seen the value of engaging everyday participants in scientific research projects. The Computing Community Consortium (CCC) recently published a new report on how advanced computing, especially artificial intelligence (AI), can extend that impact even further while at the same time contribute to human-in-the-loop computational research. The report, titled Grand Challenges for the Convergence of Computational and Citizen Science Research, assesses the ways that such technology can increase the potential of citizen science, ultimately enhancing scientific […]

The regular professional use of artificial intelligence (AI) has grown increasingly common in the past few years, and AI tools in the healthcare sector are no exception. The clinical use of AI has incredible potential, but it also requires a strong cognizance of the unique needs of patients and healthcare providers.  To that end, the U.S. Department of Health and Human Services (HHS), together with the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology (ASTP/ONC), recently put out a request for information (RFI) on the advancement of AI use in clinical care. It asked what HHS can do to foster public trust and […]

In a new workshop report published by the Computing Community Consortium (CCC), Grand Challenges for the Convergence of Computational and Citizen Science Research, experts across disciplines examine the ways in which computational science — including artificial intelligence (AI) — and citizen science can mutually enrich each other, fostering increased opportunity for advancement in numerous scientific fields. The report presents a roadmap for maximizing the potential of citizen science through the contributions of AI — and vice versa — while also demonstrating the broader applications of this union for challenges across ecological, infrastructural, clinical, and other domains. “We are entering a brave new world where we are renegotiating the relationship between […]

The buzz around artificial intelligence (AI) is undeniable, with daily headlines touting its revolutionary potential. But for AI to truly transform science and society, we need to look beyond the impressive demos and massive models and ensure we achieve the desired impacts in a deliberate, responsible, secure way. Last week at the AAAS 2026 Annual Conference in Phoenix, Arizona, a panel organized by the Computing Community Consortium (CCC) titled “Shaping the Future of AI’s Impact on Society” captivated a crowded room of researchers and media representatives. Manish Parashar (University of Utah) moderated the panel, and the speakers were Rayid Ghani (Carnegie Mellon University), Carla P. Gomes (Cornell University), and Elham Tabassi […]

The current wave of AI innovation, powered by large language models and deep neural networks, has captured the world’s attention. But what comes next? Is the future simply about scaling up what we have now, or are there new, paradigm-shifting ideas waiting to be explored? The authors of CCC’s new whitepaper, Envisioning Possible Futures for AI Research, have tackled this exact question. They’ve identified and described six potential paradigms that could define the next generation of AI. These aren’t just incremental improvements; they are truly revolutionary paths that could reshape the entire field. Join Us for a Live Q&A with Lead Author, David Jensen   We’re hosting a special 30-minute virtual […]