The Agentic State: Reimagining Government Through AI Agents
This blog post explores “The Agentic State” whitepaper by Luukas Ilves, which outlines how agentic AI will transform ten core functions of government. The report envisions a paradigm shift toward AI-driven public value, with implications for policy, leadership, and public services.
Why Generative AI Isn’t Revolutionizing Government — Yet
Despite grand claims, generative AI has yet to transform government services. Tiago C. Peixoto explores the real barriers—technical, institutional, and cultural—slowing adoption, and proposes actionable strategies to responsibly deploy AI for social impact through augmentation, governance, and citizen engagement.
AI in Financial Services: GAO Report Highlights Benefits, Risks, and Oversight Gaps
The GAO’s May 2025 report examines the use of artificial intelligence in financial services, outlining its benefits, associated risks, and the oversight mechanisms in place. It highlights regulatory gaps, especially at the National Credit Union Administration, and suggests paths forward for ensuring trustworthy AI deployment.
GAO Warns of Hidden Costs and Risks of Generative AI in New Environmental and Human Impact Report
The GAO’s latest report warns of significant environmental and human risks from generative AI, urging improved data transparency, risk management, and policy reform to protect public interests.
Powering Intelligence: How Energy and AI Are Transforming Each Other
This IEA special report explores the growing interdependence between artificial intelligence and energy, examining the electricity demands of AI data centers, the energy sector’s adoption of AI, and the implications for sustainability, investment, and innovation.
Advancing AI in Government: A New Blueprint for Responsible Acquisition
A new OMB memorandum sets out comprehensive guidance for federal agencies to responsibly acquire AI, emphasizing innovation, interoperability, and public trust.
Participatory AI in the Public Sector: Bridging Innovation and Community Trust
Participatory AI design is essential for ensuring ethical, transparent, and equitable AI integration in public governance. A new report by Devansh Saxena and colleagues explores emerging best practices, procurement policies, and stakeholder engagement strategies to enhance AI accountability and community trust in government decision-making.
AI’s Potential in the Public Sector: Challenges and Opportunities for Federal Contractors
AI has the potential to transform public sector operations, but major challenges remain. This article summarizes Ruth Kelly’s insights on AI adoption in government and explores implications for federal contractors navigating legacy systems, data quality, governance, and workforce constraints.
Enhancing Access to and Sharing of Data in the Age of AI: Implications for Federal Contractors
The OECD’s latest policy brief on AI and data sharing underscores the need for balanced access while protecting privacy and security. This article explores its key implications for federal contractors, including compliance, FAIR data principles, and evolving AI governance frameworks.
Predictability, AI, and Judicial Futurism: Why Robots Might Run the Law
A thought-provoking look at Jack Kieffaber's exploration of AI-driven legal systems and their implications for predictability, textualism, and democracy in his forthcoming article, Predictability, AI, and Judicial Futurism.
Decoding AAMAC: Unlocking AI Innovation for the Department of Defense
The AAMAC contract revolutionizes decision-making in the DoD with cutting-edge AI and analytics tools. Learn about its scope, risks, and opportunities in fostering data-driven defense solutions.
Who Should Bear the Burden of AI-Generated Copyright Infringement?
Michael P. Goodyear’s innovative framework for addressing copyright infringement by generative AI. Learn how assigning legal personhood to AI systems and refining liability rules could reshape copyright law for the AI era.
OECD’s Report: Benefits, Risks, and Policy Imperatives of AI
The OECD's insights on AI's transformative potential, addressing its benefits, risks, and essential policy frameworks to guide its responsible development. Learn how policymakers can harness AI's power while mitigating its challenges to foster innovation, inclusivity, and global equity.
"Navigating Generative AI in Government" – Insights and Implications for Public Sector Transformation
Professor Dr. Alexander Richter's report, Navigating Generative AI in Government, provides a roadmap for public sector AI integration, emphasizing data governance, ethics, innovation, and transparency to maximize benefits for citizens and public services.
Advancing U.S. Leadership in Artificial Intelligence: A Strategic Memorandum Overview
The October 2024 U.S. White House Memorandum outlines strategies for advancing artificial intelligence leadership, emphasizing national security, ethical governance, and collaboration with industry and international allies.
Generative AI: Key Considerations in Development and Deployment
This blog summarizes the GAO report on generative AI development and deployment, covering safety measures, transparency challenges, and evolving risks like data poisoning and prompt injection attacks, alongside implications for future regulatory efforts.
Harnessing AI for Worker Well-being: A Framework for Employers and Developers
The U.S. Department of Labor’s best practices for AI development aim to empower workers, protect labor rights, and promote ethical AI governance. Learn how employers can adopt AI responsibly to enhance job quality and prevent job displacement.
Who Owns AI? Reimagining Creative Value and Ownership in AI, Inspired by Amy Whitaker's Analysis
Amy Whitaker's paper explores the evolving landscape of AI, copyright, and creative value. This summary delves into the key points of her analysis, addressing the implications of recent lawsuits and proposing new frameworks for shared ownership in the AI era. Discover the intersections of law, creativity, and technology through Whitaker's insightful perspective.
Understanding AI and CBRN Threats: Key Insights for Federal Government Contractors
The findings of the DHS report on AI and CBRN threats. Learn about potential regulatory changes, risk management strategies, and opportunities for innovation that are essential for federal government contractors.
Understanding the International Scientific Report on Advanced AI Safety: Key Insights and Future Implications
The "International Scientific Report on the Safety of Advanced AI: Interim Report" provides a comprehensive analysis of the capabilities and risks of general-purpose AI. Learn about the latest advancements, potential threats, and crucial strategies for ensuring the safe and beneficial deployment of AI technology.