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 the ‘AI’ category

 

Reminder to Submit Challenge Problems Requiring AI/OR Collaboration

August 30th, 2023 / in AI, Announcements, CCC / by Catherine Gill

This is a reminder to please submit your Challenge Problems which require collaboration between the Artificial Intelligence (AI) and Operations Research (OR) disciplines by September 15th. You can submit your ideas using this form. Selected submitters will be invited to participate at the 3rd AI/OR workshop to help shape the discussion of potential collaboration between these communities and overcome hurdles preventing collaborations.   Below is our original solicitation; Please read it for more details about submissions. _____________________________________________________________________________________________________ The CCC, in collaboration with INFORMS and ACM SIGAI, will be hosting the final workshop of a three-part series titled, Artificial Intelligence (AI)/Operations Research (OR), in late February or early March 2024, to […]

Call for Challenge Problems Requiring AI/OR Collaboration

August 8th, 2023 / in AI, Announcements, CCC, Uncategorized / by Catherine Gill

The CCC, in collaboration with INFORMS and ACM SIGAI, will be hosting the final workshop of a three-part series titled, Artificial Intelligence (AI)/Operations Research (OR), in late February or early March 2024, to set a course for fundamental research that needs the partnership of both disciplines. Organized by Yu Ding (Georgia Institute of Technology), Pascal Van Hentenryck (Georgia Institute of Technology), Sven Koenig (University of Southern California), Ramayya Krishnan (Carnegie Mellon University), Radhika Kulkarni (INFORMS), and Phebe Vayanos (University of Southern California), the workshop will focus on drafting a strategic plan for increasing the AI/OR partnership and on outlining real-world opportunities for collaboration, based on discussions from the previous two […]

Generative AI Coast-to-Coast Webinar Series

August 7th, 2023 / in AI, Announcements / by Maddy Hunter

A number of institutions are coming together to discuss how researchers are using generative AI as a tool for research in The Generative AI Coast to Coast webinar series. Co-hosted by Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute, an Affiliated Institute of the University of California, Berkeley; the University of Michigan; and the University of Washington the webinars will bring feature speakers from peer institutions to discuss Generative AI in research with the larger goal of fostering a broad community of cross-institutional and interdisciplinary researchers, and building research ideas and collaboration. Each webinar will include extensive audience discussion time. Included in the line-up of speakers is CCC […]

The Computing Community Consortium Responds to PCAST Working Group on Generative AI Invites Public Input

August 7th, 2023 / in AI, Announcements / by Maddy Hunter

In May 2023, the President’s Council of Advisors on Science and Technology (PCAST) published a Request for Public Input to help assess key opportunities and risks and provide input on how best to ensure that these GenAI technologies are developed and deployed as equitably, responsibly, and safely as possible. The Computing Community Consortium (CCC) responded emphasizing the role of academic research in addressing risks associated with generative AI. Solutions will require multidisciplinary, multi-pronged approaches that simultaneously implement solutions in the form of policies and regulations, technological advances, and education. These will necessitate transparent communication among the various stakeholders, the use of basic computing research, major contributions and collaborations from social sciences, and a determined, […]

The CCC Responds to OSTP’s Request for Information on National Priorities for AI

July 24th, 2023 / in AI, Announcements / by Maddy Hunter

In May 2023, the Office of Science and Technology (OSTP) published a request for information on to inform the Biden-Harris Administration development of a National Artificial Intelligence (AI) Strategy. The strategy will chart a path for the United States to harness the benefits and mitigate the risks of AI and build on the actions that the Federal Government have already taken to responsibly advance the development and use of AI. Public comments will go towards helping to update U.S. national priorities and future actions on AI. You can read the Computing Community Consortium’s (CCC) response here. The CCC’s response focused on promoting academic research’s role in the research ecosystem, as […]

CCC Responds to FDA Request for Feedback on Using AI and ML in the Development of Drug and Biological Products

July 12th, 2023 / in AI, Announcements, CCC / by Haley Griffin

On July 10, CCC responded to a Request for Feedback released by the Food and Drug Administration (FDA) on Using AI and ML in the Development of Drug and Biological Products. The response was written by two CCC Council Members of CCC’s Computational Challenges in Health Task Force, David Danks (University of California, San Diego), and Mona Singh (Princeton University), and former Council Member Kevin Fu (Northeastern University). The FDA’s Center for Drug Evaluation and Research (CDER), in collaboration with the Center for Biologics Evaluation and Research (CBER) and the Center for Devices and Radiological Health (CDRH), including the Digital Health Center of Excellence (DHCoE), released a discussion paper and […]