Artificial intelligence (AI) is rapidly becoming a part of our daily lives, from drafting emails to recommending your next binge-watch. But what happens when AI is used to make decisions that profoundly impact a person’s life and liberty? CCC’s new CACM opinion piece, “Concerning the Responsible Use of AI in the U.S. Criminal Justice System,” explores just that.   The piece, originally based on CCC’s response to the National Institute of Justice’s 2024 Request for Information, was authored by a collective of distinguished computer scientists and researchers, including many CCC council members and individuals involved with other CRA committees.    The opinion piece begins by emphasizing the potential positive impacts […]

The world is buzzing about artificial intelligence (AI), driven by the remarkable advancements in deep neural networks, large language models, and other types of foundation models. But what’s next? A new whitepaper, “Envisioning Possible Futures for AI Research,” from the Computing Community Consortium (CCC) dives into this crucial question, suggesting that the current wave of AI innovation, while powerful, is built on a paradigm that’s already 15 years old. “The current paradigm, while incredibly successful, is not the endpoint,” says David Jensen, one of the paper’s authors from the University of Massachusetts Amherst. “For AI to continue to progress over the long term, we need researchers to be actively exploring […]

See the Full Recording of Lisa Amini’s keynote at the CCC’s 2025 Computing Futures Symposium.  In May of 2025, the Computing Community Consortium’s Computing Futures Symposium hosted an insightful keynote speech by Lisa Amini, Director of Data & AI Platforms Research, and an IBM Distinguished Engineer. With a background spanning over 25 years at IBM in areas such as Data & AI, stream processing, and distributed systems, Amini offered a comprehensive look at the rapid advancements in agentic and generative AI, and their growing impact on the enterprise. Her address highlighted a critical shift in AI research and development, global innovation trends, and the transformative potential of AI within businesses. […]

A recent New York Times article by Steve Lohr, “How Do You Teach Computer Science in the A.I. Era?”, powerfully highlights the profound impact of generative AI on computer science education. As an organization dedicated to catalyzing and enabling the computing research community, CCC recognizes the urgency and criticality of this transformation. The article outlines the current landscape, noting that universities nationwide are grappling with how to adapt their curricula. The traditional emphasis on mastering programming languages is indeed being challenged by AI assistants that can generate increasingly sophisticated code. Jeannette Wing, Columbia University professor and former Computing Research Association (CRA) board member, aptly captures the current sentiment in the […]

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 […]

  The final panel of the CCC Computing Futures Symposium, “Computing’s Human Context,” called for a paradigm shift in how we understand and develop computing technologies, urging a move towards a more interdisciplinary and human-centric approach. Moderated by Bill Regli (University of Maryland), the discussion featured insights from Sunny Consolvo (Google), Henry Farrell (Johns Hopkins University), Adam Russell (University of Southern California), and Suresh Venkatasubramanian (Brown University).   Regli kicked off the discussion by suggesting that computer science may be on the verge of a Kuhnian paradigm shift. He argued that our current models are failing to address the complexity of modern challenges in areas like artificial general intelligence (AGI), […]