Blog Archives

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:

  • Designing fair artificial intelligence systems,
  • Ensuring transparency and accountability in artificial intelligence systems,
  • Understanding factors that affect the integrity of algorithms,
  • Developing ethical decision-making systems, and
  • Detecting biases in algorithms and artificial intelligence systems.

Proposals will be accepted through July 13, 2020. More information can be found on the NSF website.

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Posted in Issue 9 (April 22), Update, Volume 39 (2020)

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, ethical, and economic implications of artificial intelligence. The legislation has a bipartisan group of original cosponsors, including Representatives Jerry McNerney (D-CA), Pete Olson (R-TX), Dan Lipinski (D-IL), and Randy Weber (R-TX). The full text of the legislation and a one-page description can be found on the Science Committee’s website.

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Posted in Issue 7 (March 31), Update, Volume 39 (2020)

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 of Work at the Human-Technology Frontier. The hearing can be watched live online at 2:00pm on September 24, and will be recorded on the Science Committee website.

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Posted in Issue 18 (September 17), Update, Volume 38 (2019)

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 AI training and testing; and expanding public-private partnerships to accelerate advances in AI; among others.

Artificial Intelligence is a priority of the Trump Administration and several federal research agencies, including the National Science Foundation (NSF) and National Institutes of Health (NIH), have incorporated and highlighted AI research and development at their agencies. More about the NIH AI initiatives can be found on the NIH website and more about the NSF AI initiatives can be found on the NSF website.

More information about the Trump Administration’s effort on AI can be found on the White House website.

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Posted in Issue 13 (June 25), Update, Volume 38 (2019)


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