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 […]
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.
Archive for May, 2025
The Rise of the Chief AI Officer: A Conversation with CCC Council Member Manish Parashar
May 14th, 2025 / in AI, Announcements, CCC / by Catherine GillCCC and CRA-I Release Joint Whitepaper on the Future of Programming in the Age of Large Language Models
May 8th, 2025 / in Announcements, CCC, CRA-I / by Catherine GillThe 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 […]
CCC Computing Futures Symposium Takes Center Stage in Washington, D.C. Next Week
May 5th, 2025 / in Announcements, CCC / by Catherine GillThe Computing Community Consortium (CCC) is hosting its highly anticipated Computing Futures Symposium in the nation’s capital, Washington, D.C., on May 15-16, 2025. This isn’t just another conference; it’s a dynamic forum where the architects of our digital future – leading researchers in computing, influential figures from federal agencies, and insightful voices from civil society – will converge to explore the cutting edge of computing research and its transformative power. The symposium features a series of panel discussions and keynote addresses from prominent experts across a spectrum of computing disciplines, including the future of robotics and autonomy, the evolving landscape of artificial intelligence, the intersection of computing and healthcare, and […]
CCC@AAAS 2025 | Social Technologies, Artificial Intelligence, and the Future of Online Trust
May 1st, 2025 / in AAAS, CCC / by Haley GriffinThis is the second post in a two-part series recapping the panel Social Technologies: Why We Can’t Live With Them or Without Them, which was supported by the Computing Community Consortium (CCC) at the 2025 AAAS Annual Conference. The first post, Rethinking Social Technologies: Platforms, Protocols, and the Push for Decentralization, explored how researchers and technologists are approaching the future of social media through decentralized design and protocol-driven innovation. This follow-up highlights the second half of the panel discussion, which examined critical issues related to artificial intelligence, online trust, and potential regulatory responses. The panel was moderated by Sarita Schoenebeck, Professor of Information at the University of Michigan, and featured […]