This is a final reminder to please submit your Challenge Problems which require collaboration between the Artificial Intelligence (AI) and Operations Research (OR) disciplines by this Friday, September 15th at 11:59 pm ET. 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.   For more information, please read the full challenge problem solicitation on our blog.

While many of the achievements of AI scientists, especially in the field of language dialogue application, seemed impossible 20 years ago, it isn’t unrealistic to think that AI can perform in ways only seen in movies. AI systems have or will soon have the capacity to execute human tasks like writing, driving, and analyzing data. AI systems are constantly looking and acting more human, so are they becoming human? According to the vast majority of AI scientists, the answer is no. However, Google engineer Blake Lemoine has made headlines in recent days by insisting that LaMDA, short for Language Model for Dialogue Applications, is sentient. Lemoine goes as far as […]

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 […]

As 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 […]

The 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 […]

Yesterday 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 […]