Conversations around the impact of artificial intelligence (AI) on the job market have intensified in recent months. With high-profile announcements of layoffs and the increasing visibility of large language models (LLMs) that can generate and explain code, it’s natural that students, parents, and recent graduates are questioning the long-term value of a computer science (CS) degree. One recent contribution to this conversation comes from Boise State University Associate Professor Casey Kennington and Clinical Instructor Andre Keys, whose recent article draws directly from The Future of Programming in the Age of Large Language Models, a joint whitepaper from the Computing Community Consortium (CCC) and CRA-Industry (CRA-I). Their piece positions the CS […]
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.
Posts Tagged ‘Future of Computing’
Making the Case for the CS Degree in the Age of Artificial Intelligence
July 3rd, 2025 / in AI, CCC, CS education / by Catherine GillNavigating the Future of Computing Innovation: CCC Computing Futures Symposium Panel Recap
June 10th, 2025 / in AI / by Catherine GillCCC’s recent Computing Futures Symposium brought together leading minds in computer science for a dynamic panel discussion, expertly moderated by Mark Hill (University of Wisconsin – Madison). This expert panel, featuring Margaret Martonosi (Princeton University), Brent Hecht (Microsoft Research), Charles Leiserson (Massachusetts Institute of Technology), and Rajmohan Rajaraman (Northeastern University), delved into critical issues facing the field, from the future of quantum computing to the societal impact of artificial intelligence (AI) and the enduring quest for performance optimization. Key Perspectives and Insights Martonosi kicked off the discussion with a passionate plea for computer science expertise in the burgeoning field of quantum computing. Acknowledging that quantum is still in its “Wild […]
