artificial intelligence

“Why Social Science” Matters for AI Research

The latest Why Social Science? post comes from Corinna Turbes, Policy Director for the Data Foundation, who writes about the need for better data to enable social scientists to conduct artificial intelligence (AI) research.

AI Advisory Committee Seeks Nominations

Nominations are open for the inaugural National Artificial Intelligence (AI) Advisory Committee, which is being established in accordance with the National Artificial Intelligence Initiative Act of 2020 passed as part of the fiscal year (FY) 2021 defense authorization bill last year. That bill created the National Artificial Intelligence Initiative to coordinate AI research and policy across the federal government and a national network of AI research institutes and provided for the establishment of an advisory committee to inform this effort. According to the bill, committee members should represent “broad and interdisciplinary expertise and perspectives”—including in the social and behavioral sciences—with…

OSTP and NSF Request Input on National Resource for Artificial Intelligence Research

The White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) have issued a request for information (RFI) developing an implementation roadmap for a shared artificial intelligence (AI) research infrastructure. The RFI was issued through the National Artificial Intelligence Research Resource Task Force, which was directed by Congress to establish a “shared research infrastructure that would provide Artificial Intelligence (AI) researchers and students across scientific disciplines with access to computational resources, high-quality data, educational tools, and user support.” More information about the RFI is available in the Federal Register notice. Comments are due by October…

NIH Launches New Bridge2AI Program

The National Institutes of Health (NIH) Common Fund has established a new program, Bridge to Artificial Intelligence (Bridge2AI), which aims to generate flagship data sets and best practices for the collection and preparation of Artificial Intelligence (AI)/Machine Learning (ML)-ready data to address biomedical and behavioral research grand challenges. The program plans to support several interdisciplinary Data Generation Projects (OTA-21-008) and one complementary cross-cutting Integration, Dissemination and Evaluation (BRIDGE) Center (NOT-RM-21-021). The new program was the subject of a recent post on the National Library of Medicine (NLM) Director’s blog. NIH will also host a series of webinars and virtual events in June to share more information about…

NSF Announces Fairness in Artificial Intelligence Collaboration with Amazon

The National Science Foundation (NSF) is seeking research proposals for the NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon, a program seeking to support research on how to ensure fairness in artificial intelligence and machine learning. The program is partially funded by Amazon, although the company will not have a role in the award selection process. Due to the multidisciplinary nature of artificial intelligence research, many fields of the social and behavioral sciences may be supported by this program including information science, statistics, cognitive science, and psychology. Some of the research topics that may be supported include:…

House Science Committee Leaders Introduce Artificial Intelligence Legislation

On March 12, Chairwoman Eddie Bernice Johnson (D-TX) and Ranking Member Frank Lucas (R-OK) of the House Science, Space, and Technology Committee introduced the National Artificial Intelligence Initiative Act of 2020 (H.R. 6216). The legislation intends to accelerate and coordinate federal investments and facilitate new public-private partnerships in research, standards, and education in artificial intelligence, to ensure the United States leads the world in the development and use of responsible artificial intelligence systems. The legislation includes many opportunities for agencies to support research on the social and behavioral dimensions of artificial intelligence and emphasizes the importance of understanding the social,…

House Science Committee to Host Hearing on Artificial Intelligence and the Future of Work

The Research and Technology Subcommittee of the House Committee on Science, Space, and Technology will host a hearing on Artificial Intelligence and the Future of Work on September 24. The hearing will feature Dr. Arthur Lupia, Assistant Director for Social, Behavioral and Economic Sciences at the National Science Foundation; Dr. Erik Brynjolfsson, Professor of Management Science and Director at the MIT Initiative on the Digital Economy; Ms. Rebekah Kowalski, Vice President of Manufacturing Services at the ManpowerGroup; and Dr. Sue Ellspermann, President of Ivy Tech Community College. Dr. Lupia is expected to discuss the NSF Ten Big Ideas, including Future…

Administration Releases Updated Artificial Intelligence Research and Development Plan

On June 21, the Select Committee on Artificial Intelligence of the National Science and Technology Council (NSTC) released a 2019 update to its Artificial Intelligence (AI) Research and Development Plan. The first national AI R&D plan was released in 2016 and has been updated to include strategic priorities and accounts for new research and technologies in AI. The new strategic priorities include: making long-term investments in AI research; developing effective methods for human-AI collaboration; understanding and addressing the ethical, legal, and societal implications of AI; ensuring the safety and security of AI systems; developing shared public datasets and environments for…

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