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 […]
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 ‘AI’ category
AAAS Panel Recap: Maintaining a Rich Breadth for Artificial Intelligence
April 27th, 2023 / in AAAS, AI, CCC / by Catherine GillCCC Reports and Whitepapers Released in April
April 26th, 2023 / in AI, Announcements, CCC-led white papers, workshop reports / by Maddy HunterApril was a big month for the Computing Community Consortium, releasing two workshop reports and one white paper on pressing topics within the computing research community. Overviews of each, as well as individual links to corresponding blog posts are listed below. CCC Releases the Artificial Intelligence/Operations Research Workshop II Report Out In August of 2022, the second AI/OR workshop was held in Atlanta, GA. The second workshop in a three-part series, also supported by INFORMS and ACM SIGAI, was organized by John Dickerson (University of Maryland), Bistra Dilkina (University of Southern California), Yu Ding (Texas A&M), Swati Gupta (Georgia Institute of Technology), Pascal Van Hentenryck (Georgia Institute of Technology), Sven Koenig (University of Southern California), Ramayya Krishnan (Carnegie Mellon University), and Radhika Kulkarni (SAS […]
Department of Commerce Releases a Request for Comment on AI Accountability Policy
April 24th, 2023 / in AI, Announcements, Privacy / by Maddy HunterThe Department of Commerce has released a request for comment on AI Accountability Policy. The National Telecommunications and Information Administration is requesting comments on AI system accountability measures and policies. The comments will help the administration to draft and issue a report on AI accountability policy development focusing on AI assurance ecosystems. Comments are due June 10th, 2023. Summary: The National Telecommunications and Information Administration (NTIA) hereby requests comments on Artificial Intelligence (“AI”) system accountability measures and policies. This request focuses on self-regulatory, regulatory, and other measures and policies that are designed to provide reliable evidence to external stakeholders – that is, to provide assurance – – that AI systems […]
CCC Releases the Artificial Intelligence/Operations Research Workshop II Report Out
April 10th, 2023 / in AI, Announcements, CCC, workshop reports / by Catherine GillThe CCC just released the 2nd Report Out in the three part Artificial Intelligence/Operations Research Visioning Workshop series. In September of 2021, the CCC along with the Institute for Operations Research and the Management Sciences (INFORMS) and ACM SIGAI, held the first AI/OR workshop virtually, during which they reviewed the current state of AI/OR research and developed a strategic vision for increased collaboration between the two fields. You can view the Report Out from the first workshop here. In August of 2022, the second AI/OR workshop was held in Atlanta, GA. This workshop, also supported by INFORMS and ACM SIGAI, was organized by John Dickerson (University of Maryland), Bistra […]
NSF and 5 other U.S. Agencies Launch Program to Build an Integrated Data and Knowledge Infrastructure
March 28th, 2023 / in AI, Announcements, NSF, Research News / by Maddy HunterThis week, the National Science Foundation (NSF), along with five other U.S. government agencies, launched the Building the Prototype Open Knowledge Network (Proto-OKN). This $20 million initiative, will provide funding opportunities towards building a prototype version of an integrated data and knowledge infrastructure called an open knowledge network. An open knowledge network (OKN) is a publicly accessible, interconnected set of data repositories and associated knowledge graphs that will enable data-driven, artificial intelligence-based solutions for a broad set of societal challenges. In 2018, the Computing Community Consortium (CCC) partnered with the Association for the Advancement of Artificial Intelligence (AAAI) to bring together the community and produce a 20-Year Roadmap for Artificial Intelligence. The report emphasized […]
Former Council Member Melanie Mitchell on Detecting AI Generated Text
February 9th, 2023 / in AI, Uncategorized / by Maddy HunterAI generative models have recently taken the world by storm creating digital art, music and prose. Among these innovations is a new language model called ChatGPT on openai.com. Using this tool, users can ask ChatGPT anything ranging from answering homework questions to identifying potential research directions. Something that sets ChatGPT apart from other language models is its ability to create more natural and accurate language when answering questions and requests. ChatGPT’s answers are extremely similar if not identical to human responses. This has presented a multitude of concerns over plagiarism and misinformation. Something that could help curb these concerns is a means of detecting text generated by language models. Former […]