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A new document provides an inventory of which commercial AI tools the Department of Homeland Security uses for tasks ranging from generating drafts of documents to managing cybersecurity.
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The government technology supplier says its new AI-backed tool can help states reduce costly mistakes on SNAP applications. Such mistakes could lead to even larger cuts in federal assistance.
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Hawaii has received federal approval to begin spending nearly $149 million to expand high-speed Internet statewide, marking one of the largest digital infrastructure investments in state history.
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Developing policies to establish phone-free schools and a playbook for artificial intelligence, including curriculum, rules and professional learning, are among Connecticut's legislative priorities for 2026.
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As the new five-year funding cycle for E-rate begins, experts at the Future of Education Technology Conference in Orlando urged districts to plan early, document thoroughly and stay vigilant on compliance.
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A lab at the University of Idaho will use a Department of Defense grant to develop machine learning models that might be able to analyze biometric data from military members and assess risk of PTSD.
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With new EV sales in the United States recently reporting a year-over-year decline, advocates said factors like their long-term affordability should have been emphasized and infrastructure should be accessible.
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A federal court ruled in favor of 22 attorneys general that lab maintenance, utilities and administrative staff are legitimate expenses for federal funding earmarked for university research.
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State governments are expected to deploy AI in 2026 with an increased focus on returns on investment as they face complex policymaking restrictions enacted by a recent executive order signed by President Donald Trump.
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The United States Tech Force is being led by the U.S. Office of Personnel Management to recruit and train technologists for service across multiple federal agencies. It is structured as a two-year program.
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A new report from the Urban Institute outlines how many of the projects developed as part of the 2021 Infrastructure Investment and Jobs Act, including technology work, have been slow to finish and deploy.
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The document emphasizes governance, risk assessment and safety principles to protect operational technology as AI adoption grows. Understanding security concerns during development is one recommendation.
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President Donald Trump has signed an executive order seeking to limit states’ abilities to enact AI-related policy that could be deemed “burdensome.” Experts argue the action is illegal.
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Data center development, the subject of much public-sector conversation and policy, is predicted to expand, driven by the growth of AI. It's also expected to come at a cost and bring a selective benefit.
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A presidential executive order on AI could challenge a number of laws already in play. One in California, state Senate Bill 53, set safety disclosure requirements for companies operating AI models.
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Providing shared computing power, AI tools and educational support, the National Artificial Intelligence Research Resource pilot connects researchers, educators and industry partners pushing boundaries with AI.
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The federal measure, which has been referred to committee, would continue the State and Local Cybersecurity Grant Program that has supported state, local, tribal and territorial governments since 2022.
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The Federal Trade Commission's proposed order to Illuminate Education would require the company to delete unnecessary student data, implement robust security controls and end misleading privacy claims.
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If the federal government succeeds in dismantling the Department of Education, it could impact the sharing of new adaptive or assistive technologies, communication devices and workforce development programs.
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Included in the federal government's SUPPORT Act, the measure mandates cybersecurity reporting across the 988 network along with an order for a review of system risks.
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A state-by-state AI policy scan from the Council of State Governments offers a clear and comparative view of the AI governance landscape across the U.S., even as the federal government eyes restrictions.