The last decade has seen the increased use of machine learning and data science to make decisions—from figuring out which YouTube video to recommend to deciding whom to give a loan, automated decisions are now everywhere. However, as deployment of these decision-making systems has increased so too have concerns about the transparency of the component algorithms and the fairness of their outcomes. This topic was the subject of the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 American Association for the Advancement of Science (AAAS) Annual meeting in Seattle, Washington one month ago. The session was moderated by Computing Community Consortium (CCC) Director Ann Schwartz Drobnis and included: Sampath […]
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.
Posts Tagged ‘Artificial Intelligence’
CCC @ AAAS 2020 – New Approaches to Fairness in Automated Decision Making
March 31st, 2020 / in AAAS, AI / by Khari DouglasCCC @ AAAS 2020 – Using Computing to Sustainably Feed a Growing Population
March 24th, 2020 / in AAAS / by Khari DouglasAs the global population continues to grow, and climate change and pollution lead to environmental degradation, ensuring the future of agriculture and food production becomes increasingly imperative. What role can computing research play in alleviating these challenges going forward? The impact of computing technology on the future of agriculture and plant science was the subject of the Using Computing to Sustainably Feed a Growing Populations scientific session at the 2020 American Association for the Advancement of Science (AAAS) Annual meeting in Seattle, Washington one month ago. This session was moderated by Lucas Joppa, the Chief Environmental Officer at Microsoft, and co-organized by Shashi Shekhar (CRA Board Member) and James Hodson (AI for Good […]
Computing Community Consortium at AAAS 2020
February 3rd, 2020 / in AAAS / by Khari DouglasThe Computing Community Consortium (CCC) is proud to be a part of the American Association for the Advancement of Science (AAAS) 2020 Annual Meeting taking place February 12-16, 2020 in Seattle, Washington. This year the CCC is supporting five scientific sessions at the AAAS Annual Meeting in addition to two communications and outreach opportunities. Learn more about each of the sessions below. New Approaches to Fairness in Automated Decision Making Friday, February 14th 8:00 – 9:30 AM Synopsis: Critical decisions are increasingly being made by machine-learning algorithms based on massive data trails that people all leave behind. Such decisions affect issues from college admissions and bank loans, to sentencing and police deployment. Concerns have been raised […]
Artificial Intelligence and the Challenge of Modeling the Brain’s Behavior
September 24th, 2019 / in AI, conferences / by Khari DouglasYesterday morning at the Heidelberg Laureate Forum (HLF) laureates Yoshua Bengio (2018 Turing Award), Edvard Moser (2014 Nobel Prize in Physiology or Medicine), and Leslie G. Valiant (1986 Nevanlinna Prize and 2010 Turing Award) each presented a lecture related to artificial intelligence or the modeling of the brain. Yoshua Bengio’s lecture on “Deep Learning for AI” provided a retrospective of some of the key principles behind the recent successes of deep learning. Dr. Bengio’s work has mostly been in neural networks, which are inspired by the computation found in the human brain. One of the key insights in the field came with the representation of words as vectors of numbers. This allowed relationships between words to be learned […]
Code 8.7: Towards a Pipeline – Technology, Techniques and Training
May 1st, 2019 / in Announcements, pipeline / by Khari DouglasThe following blog post was contributed by Nadya Bliss (Director, the Global Security Initiative at Arizona State University & CCC Council Member) and is reposted from the Delta 8.7 website. You can view the original post here. Advances in computational science and artificial intelligence offer opportunities to advance Target 8.7 of the Sustainable Development Goals, but the anti-trafficking community must first establish some core building blocks that can serve as the foundation upon which new technologies can be developed and shared. Simply throwing flashy new tech at the problem is neither strategic nor effective. Key components of this foundation include a shared strategy, a common infrastructure that allows for better and […]
Code 8.7: How We Can Advance Collaborative Problem Solving
April 12th, 2019 / in Announcements, policy, research horizons, Research News / by Khari DouglasThe following blog is reposted from the Delta 8.7 website. You can view the original post here. Contributions by: James Cockayne | Project Director – Delta 8.7 Nadya Bliss | Director, the Global Security Initiative at Arizona State University Doreen Boyd | Head of the Rights Lab’s Data Programme, University of Nottingham Hannah Darnton | Programme Manager in Ethics, Technology and Human Rights, BSR Ann Drobnis | Director, the Computing Community Consortium James Goulding | Deputy Director of N-LAB, the University of Nottingham Daniel Lopresti | Professor and Chair of the Department of Computer Science and Engineering, Lehigh University Anjali Mazumder | Rutherford Fellow, the Alan Turing Institute of Data Science and Artificial Intelligence Zoe Trodd | Director of the Rights Lab, the University of Nottingham Code 8.7: How […]