The future of artificial intelligence (AI) technologies in government remains a developing work in progress, but for evidence of the technology’s rapid development and staying power, it might just be enough to order some fast-food takeout.
The National Institute of Standards and Technology (NIST) released a second draft of its Artificial Intelligence (AI) Risk Management Framework (RMF) on Aug. 18, including further guidance on developing trustworthy and responsible AI systems.
The Commerce Department’s International Trade Administration (ITA) component has launched a fresh effort to gather insights into the current global artificial intelligence (AI) market, along with concerns about international AI policies, regulations, and other measures which may impact U.S. exports of AI technologies.
The Department of Veterans Affairs (VA) is in the process of developing and piloting several projects in artificial intelligence (AI) as the agency prepares for the next frontier in health IT – human-machine interactions – the agency’s AI lead said on July 12.
A senior General Services Administration (GSA) official involved with artificial intelligence (AI) deployments throughout the Federal civilian government emphasized this week that creating broad-based trust in AI technologies is the key to maintaining the personal freedoms of American citizens over the long term.
Government and private sector organizations that are seeking to create successful artificial intelligence (AI) technology efforts need to prioritize investments in data maintenance and categorization, two AI experts said this week.
The National AI Research Resource (NAIRR) Task Force – established by the Biden administration in June 2021 to determine the viability of establishing a NAIRR and develop a roadmap to establishing the resource – is working toward delivering its final report in December.
The Defense Advanced Research Projects Agency (DARPA) is seeking proposals to address challenges in artificial intelligence (AI) algorithms and architectures that deeply integrate symbolic reasoning with data-driven machine learning to create robust, assured, and, therefore, trustworthy AI-based systems.
The Defense Advanced Research Projects Agency (DARPA) is soliciting new contract proposals to advance and enhance machine learning and artificial intelligence (AI) technologies as part of the agency’s new Enabling Confidence (EC) program.
While the use of AI technologies is proving effective as a tool to help stop cyber criminals, the Federal government continues to faces an uphill road in deploying the technology, a U.S. Secret Service official said this week.
The National AI Research Resource (NAIRR) Task Force – a Federal advisory group authorized by Congress in 2020 to explore creating a national resource for AI research and development – issued a new report this week that lays out the beginnings of vision for how a national infrastructure could be established to meet the needs of the U.S. AI research community.
The House Committee on Oversight and Reform on May 11 voted to approve a bevy of bills that aim to help advance IT modernization and address government Federal workforce needs.
Federal authorities are cautioning employers about using tools like artificial intelligence (AI) in employment decisions because it could impede access to opportunities for people with disabilities in violation of the Americans with Disabilities Act (ADA).
As the Federal government and Department of Defense look to find creative solutions to problems, creators will need to emphasize getting accurate nonbiased data and understanding the user experience (UX) of their product if they look to create something that is both useful and used, the Chief Data Officer for United States Special Operations Command (SOCOM) said.
House lawmakers introduced legislation requiring artificial intelligence (AI) training for the Federal acquisition workforce, a companion to a Senate bill passed last December.
The General Service Administration’s (GSA) Artificial Intelligence Center of Excellence (AI CoE) has launched an Applied AI Challenge that seeks to bring forth industry solutions for AI technologies, the AI CoE announced. The challenge aims to find solutions to aid citizen service delivery in areas of natural language processing engines, unified platforms, computer vision engines, and general AI functions.
The National Artificial Intelligence Advisory Committee (NAIAC) held its first meeting on May 4, where it established five working groups to improve the committee’s efficiency and laid out a vision for what the panel hopes to accomplish.
The National Geospatial-Intelligence Agency (NGA) is in the process of taking over operational control of the Defense’s Department’s (DoD) Project Maven, which the Pentagon formed in 2017 to speed integration of big data and machine learning (ML) technologies, NGA Director Vice Adm. Robert Sharp explained on April 26 at the GEOINT 2022 Symposium.
The Department of Defense (DoD) has named Dr. Craig Martell Chief Digital and AI Officer (CDAO), where he will operate as DoD’s senior official responsible for accelerating data adoption, analytics, digital solutions, and AI functions to generate decision advantage.
The U.S. Department of Commerce announced the appointment of 27 new experts to the National Artificial Intelligence (AI) Advisory Committee (NAIAC) – the first appointments for the recently established committee.
The Department of Health and Human Services (HHS) Office of the Inspector General (OIG) is building on its AI text analytics capabilities and creating a new “bring your own documents” web portal that will allow customers without an analytics background to apply natural language processing methods to an ad hoc set of documents, according to an HHS official.
Reps. Brenda Lawrence, D-Mich., and Anthony Gonzalez, R-Ohio, have introduced new legislation that aims to update artificial intelligence (AI) data collection policies and protect Americans’ privacy.
The National Institute for Standards and Technology (NIST) is emphasizing in a new report the need to tackle biases in artificial intelligence beyond just the data sets and machine learning processes – which tend to be the main points of emphasis when looking at how to make AI less biased and more equitable.
The integration of artificial intelligence (AI) into next-generation tools offers an exciting opportunity to enhance the quality and efficiency of patent and trademark examination, an official from the U.S. Patent and Trademark Office (USPTO) said during an FCW virtual event on March 9.
The Department of Energy (DoE) is working on finalizing an Artificial Intelligence Risk Management Playbook, and an agency official said on March 9 that it should be released sometime in fiscal year (FY) 2023.
The Internal Revenue Service (IRS) said on Feb. 21 that it will allow taxpayers to opt out of using facial recognition technology to verify their identity and access online accounts, and at the same time will work to roll out login.gov as its long-term authentication solution.
While the Defense Department (DoD) has been working hard on developing AI capabilities – and has run into challenges that DoD usually faces when acquiring new technologies – a new report from the Government Accountability Office (GAO) says it’s too soon to assess effectiveness of the overall effort.
While businesses and IT professionals are increasingly using artificial intelligence and machine learning (ML), measuring and proving the business value of the technologies remains a challenge for organizations.