CCC 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 One, we will summarize the introduction and the presentation by Dr. Rebecca Willett.   CCC’s first AAAS panel of the 2024 annual meeting took place on Friday, February 16th, the second day of the conference. The panel, moderated by CCC’s own Dr. Matthew Turk, president of the Toyota Technological Institute at Chicago, was composed of experts who apply artificial intelligence to a variety of […]

    The 2024 AAAS Meeting is coming up later this week, beginning on Thursday, February 15th and ending on Saturday, February 17th in Denver, Colorado. This year, CCC is sponsoring three scientific sessions on various topics in computing:       Generative AI in Science: Promises and Pitfalls – Friday, Feb 16th from 2:30 – 3:30 pm MST (Room: Mile High 2A (Ballroom Level, Conv. Center))  Moderator: Matthew Turk (Toyota Technological Institute at Chicago and CCC Council member) Panelists: Rebecca Willett (University of Chicago), Markus Buehler (Massachusetts Institute of Technology), and Duncan Watson-Parris (University of California San Diego) Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? – […]

The 2024 AAAS Meeting will take place February 15th – 17th in Denver, Colorado. This conference, held annually since AAAS was established in 1848, is dedicated to advancing science and technology across all disciplines and helps bridge the gap between researchers and the public via media coverage of cutting-edge research.   This year, the Computing Community Consortium will sponsor three scientific sessions on various topics in computing: Generative AI in Science: Promises and Pitfalls  Moderator: Matthew Turk (Toyota Technological Institute at Chicago and CCC Council member) Panelists: Rebecca Willett (University of Chicago), Markus Buehler (Massachusetts Institute of Technology), and Duncan Watson-Parris (University of California San Diego) Large Language Models: Helpful […]

Computing Community Consortium (CCC) council member David Danks was recently featured on ACM News for his involvement in a CCC-sponsored scientific session at AAAS 2023 “Maintaining a Rich Breadth for Artificial Intelligence.” The session featured discussions highlighting the importance of incorporating a broad range of multi-discipline research and expertise. Panelists recognized that neural networks and deep learning have driven progress in AI over the year resulting in an imbalance and dominance of these disciplines in AI research. These silos can stunt the development of AI and lead to missed opportunities for growth in the field. Accompanied by panelists Melanie Mitchell and Bo Li, David Danks discussion topic: “Let a Thousand […]

The American Academy of Arts and Science (AAAS) recently announced 269 new members elected to the academy. Among them are nine new members under the “computer science” category, including several that have worked closely with the Computing Research Association, CRA-Widening Participation, and  Computing Community Consortium in the past.  The Academy is an honorary society that recognizes outstanding individuals across all disciplines, perspectives, and professions. Founded in 1780 the American Academy of Arts and Science brings together cutting-edge researchers to examine new ideas and work together to  “cultivate every art and science which may tend to advance the interest, honor, dignity, and happiness of a free, independent, and virtuous people.” Please […]

This blog post is a continuation of yesterday’s summary of the Maintaining a Rich Breadth for Artificial Intelligence panel at the 2023 AAAS meeting. This panel was moderated by Maria Gini (University of Minnesota) and the panel comprised David Danks (University of California – San Diego), Bo Li (University of Illinois – Urbana-Champaign), and Melanie Mitchell (Santa Fe Institute)   Following the panel, Dr. Gini opened the discussion up to the audience for Q&A. The first question came from a researcher in the audience:   To what extent do you think homogeneity is an effect of cost in terms of the available hardware? Neural networks are cheap to create and […]