The American Association for the Advancement of Science’s (AAAS) annual meeting brought together a community of leading scientists, educators, policymakers and journalists in February. Among those individuals were CCC council member Matthew Turk and former council member Suresh Venkatasubramanian. Turk, the president of the Toyota Technological Institute at Chicago and Venkatasubramanian, a professor of data science and computer science at Brown University, were featured in an article by the California Council on Science & Technology. As AI experts, they were asked about the role of states in providing guardrails for the use of AI and generative AI. Their response in the article emphasized how different attempts by states to address […]
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 ‘AAAS’ category
CCC Council Members featured in AAAS article
April 3rd, 2024 / in AAAS, CCC / by Petruce Jean-CharlesCCC @ AAAS 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part Two
March 27th, 2024 / in AAAS / by Haley GriffinCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. Today, we will summarize the highlights of the Q&A portion of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Below […]
CCC @ AAAS 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part One
March 26th, 2024 / in AAAS / by Haley GriffinCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. Today, we will summarize the highlights of the panelists presentations of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Large […]
CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Four
March 21st, 2024 / in AAAS / by Catherine GillCCC supported three scientific sessions at this year’s AAAS Annual Conference. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” This panel, moderated by Dr. Matthew Turk, president of the Toyota Technological Institute at Chicago), featured Dr. Rebecca Willett, professor of statistics and computer science at the University of Chicago, Dr. Markus Buehler, professor of engineering at the Massachusetts Institute of Technology, and Dr. Duncan Watson-Parris, assistant professor at Scripps Institution of Oceanography and the Halıcıoğlu Data Science Institute at UC San Diego. In Part Four, we summarize the Q&A portion of the panel. A Q&A session followed the panelist’s presentations, […]
CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Three
March 20th, 2024 / in AAAS / by Catherine GillCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” In Part Three, we summarize the presentation by Dr. Duncan Watson-Parris, assistant professor at Scripps Institution of Oceanography and the Halıcıoğlu Data Science Institute at UC San Diego. Following Dr. Markus Buehler’s presentation on generative AI in mechanobiology, Dr. Watson-Parris turned the audience’s attention to generative AI applications in the climate sciences. He began by outlining the difference between climate and weather. Weather refers to […]
CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Two
March 19th, 2024 / in AAAS / by Catherine GillCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” In Part Two, we will summarize Dr. Markus Buehler’s presentation on Generative AI in Mechanobiology. Dr. Markus Buehler began his presentation by addressing how generative models can be applied in the study of materials science. Historically in materials science, researchers would collect data or develop equations to describe how materials behave, and solve them with pen and paper. The emergence of computers allowed researchers to […]