The Computing Community Consortium’s (CCC) latest report, Beyond Code: Engineering Trustworthy Software Systems with AI at Scale, examines what happens to software engineering as AI takes over most of the work of writing code. Between 84% and 90% of developers now use these tools. The report is primarily addressed to researchers, but several of its findings describe conditions that research alone cannot resolve. Beyond Code: Engineering Trustworthy Software Systems with AI at Scale was authored by Randal Burns (Johns Hopkins University), Sebastian Elbaum (University of Virginia), Gabrielle Allen (University of Wyoming), Nils Aschenbruck (Osnabrück University), Terry Benzel (University of Southern California), William Gropp (University of Illinois Urbana-Champaign), Rick Kazman (University […]

In mid-October, the Computing Community Consortium (CCC) will convene a visioning workshop designed to define and recommend improvements to the core components of the artificial intelligence research ecosystem (AIRE). The AIRE workshop — led by Manish Parashar (University of Utah), Vandana Janeja (University of Maryland Baltimore County), Abhishek Bhattacharjee (Princeton University), Edith Elkind (Northwestern University), David Jensen (University of Massachusetts Amherst), Jofish Kaye (Inflection AI & CRA-I Council), William Regli (University of Maryland), and Michela Taufer (University of Tennessee Knoxville) — brings together research community leaders to examine how the structures that support AI research, from peer review and publishing to funding and partnerships, can keep pace with a rapidly […]

The Computing Community Consortium’s (CCC) latest report, Beyond Code: Engineering Trustworthy Software Systems with AI at Scale, takes up the question of what has to change in software engineering once implementation is largely automated. With adoption of AI coding tools now reported at 84% to 90% of developers, much of the work shifts to specifying, verifying, and maintaining what AI produces. This report, however, documents a widening gap between what AI-assisted development is expected to deliver and what these systems can currently do — as well as between the sheer amount of code being generated and the current ability to verify it. The report presents a way forward for closing […]

The Computing Community Consortium (CCC) is excited to release a new key recommendations brief drawn from the recent Computing on the Fly: Navigating a Vision for the Future of Drone Computing report. The report lays out a vision for non-military drone infrastructure by 2035 and identifies twelve technical challenges standing in the way. This brief, Key Recommendations for the Future of Drone Computing, outlines the next steps, translating those challenges into specific actions for the four computing communities whose decisions will determine whether that vision is met: scientific funders, policymakers, industry, and academia. Action is urgent to realize the full potential of non-military drones. The report establishes milestones for 2028, […]

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 […]