GSA’s LLM Data Rules Are Becoming Contract Terms: What Contractors Need Before October 19
GSA’s new LLM safeguarding requirements are scheduled to take effect October 19, turning AI data governance into a contract-compliance issue. Contractors using large language models to process Government data should map model providers, data flows, training restrictions, logging, incident reporting, retention, deletion, model-change requirements, and subcontractor responsibilities before accepting AI-related contract obligations.
Data.gov and the Future of Federal Data Access
Meghan M. Stuessy and Clinton T. Brass’s CRS report explains Data.gov’s role as the federal data catalog and examines whether it should remain a registry for locating agency data or become a repository for preserving it. The report highlights transparency, metadata, persistence, usability, and congressional oversight issues.
Official Statistics at a Crossroads: Rebuilding Trust, Capacity, and Relevance in the Age of AI
Summary of PARIS21 and Open Data Watch’s Data Systems at a Crossroads, explaining how funding cuts, declining trust, AI, capacity gaps, and demands for inclusive data are reshaping the future of official statistics and national statistical systems.
What’s Your Form? Why the Evolution of Government Service Delivery Matters for Contractors
A summary of “What’s your form? The evolution of government service delivery,” explaining how forms evolved from paper to AI-enabled platforms and why this shift matters for U.S. federal contractors. Learn how to turn compliance into measurable value—improving CX, equity, security, and outcomes—by treating the “form” as a policy instrument and a trust interface.
Spatial Data and Cybersecurity: From Asset to Attack Surface
Summary of Louai Alarabi’s World Economic Forum article on why spatial data now underpins logistics, cities, disaster response, and national security—and why its confidentiality, integrity, and availability require layered cybersecurity across governance, technical controls, threat intelligence, and emerging tools like AI, blockchain, and privacy-preserving analytics.
Illuminating “Dark Data” in Government: Why Federal Contractors Should Care
A new fellows paper by Heather Openshaw shows most government data is “dark”—unused, risky, and costly. It explains how AI and digital public infrastructure can unlock value only if governance, consent, and data hygiene come first. Here’s why that matters for U.S. federal contractors’ capture, compliance, and solution design.
Conflicts Over Americans’ Personal Data Spark Federal Debate
A new executive order and agency oversight shakeups under the Trump administration raise concerns over privacy and access to Americans' personal data. Legal experts and advocacy groups challenge the move, citing risks to consumer protections.
The Rise of National Data Strategies: Lessons from the UK, Germany, and the US
The national data initiatives in the UK, Germany, and the US, their objectives, governance, and implications for AI, privacy, and innovation. Learn how these frameworks aim to shape data governance and societal impact.