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 […]

The final CCC panel of AAAS 2023, “Maintaining a Rich Breadth for Artificial Intelligence”, was held on Sunday, March 5th, the last day of the conference. This panel was composed of David Danks (University of California – San Diego), Bo Li (University of Illinois – Urbana-Champaign), and Melanie Mitchell (Santa Fe Institute) and was moderated by Maria Gini (University of Minnesota).    Dr. Bo Li began the panel by discussing the importance of conducting trustworthy machine learning (ML), and the ways in which we can ensure ML is safe, equitable, and inclusive. Machine learning is ubiquitous, Li said, and today is used in a significant number of everyday activities, such […]

This is part 2 of Khari Douglas’ interview with Dr. Daniel Lopresti, the Chair of the Department of Computer Science and Engineering and the Director of the Data X strategic initiative at Lehigh University. In this episode Dr. Lopresti discusses a few of the courses he is currently teaching, the Code 8.7 conference on using AI and computational science to end modern slavery, and the work of the CCC’s Intelligent Infrastructure task force. Stream in the embedded player below or find the podcast on iTunes | Spotify | Stitcher | Google Play | Blubrry | iHeartRadio | Youtube.   If you are interested in appearing in an episode of the Catalyzing Computing podcast or want to contribute a […]

The Computing Community Consortium is cohosting Code 8.7: Using Computation Science and AI to End Modern Slavery on February 19-20, 2019 at the United Nations in New York City with the United Nations University Centre for Policy Research, The Alan Turing Institute, Tech Against Trafficking, University of Nottingham Rights Lab, and Arizona State University Global Security Initiative. Code 8.7 is a two-day conference that brings the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals. With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labour, modern slavery and human trafficking by 2030, and the worst forms of child labour […]

This post features contributions from the upcoming Computing Research Symposium Intelligent Infrastructure for our Cities and Communities and Data, Algorithms, and Fairness panel members. On October 23-24, 2017, the Computing Community Consortium (CCC) will hold the Computing Research: Addressing National Priorities and Societal Needs Symposium in order to address the current and future contribution of computing and its role in addressing societal needs. The two days are organized around four main themes: Intelligent Infrastructure for our Cities and Communities: Intelligent infrastructure is already transforming our nation’s cities and communities, but the technological revolution is just now beginning. This session will highlight some of the major advances taking place now, while at the same time emphasizing […]

The organizing committee for the AI for Social Good Workshop has released their workshop report called Artificial Intelligence for Social Good. The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intelligence (AAAI), co-sponsored this workshop in June 2016 in Washington, DC. This was one of five workshops that OSTP co-sponsored and held around the country to spur public dialogue on artificial intelligence, machine learning, and to identify challenges and opportunities related to AI. The workshop highlighted successful deployments of AI systems directed at addressing specific societal needs. Subsequent discussions explored broader questions as to […]