April 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 […]

The 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 […]

The 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 […]

This 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 […]

AI 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 […]

This week the National Artificial Intelligence Research Resource (NAIRR) Task Force released a roadmap to establish a national research infrastructure aimed to broaden access to resources for AI research and development. There are ever increasing opportunities to work with cutting-edge AI technologies, but many of the opportunities are limited to large companies, organizations and academic institutions with an abundance of resources. The implementation plan, Strengthening and Democratizing the U.S. Artificial Intelligence Innovation Ecosystem, aims to provide AI researchers and students with access to computational resources, high-quality data, training tools, and user support. The report lays out the following goals for the NAIRR: Provide AI researchers and students with significantly expanded […]