The Adoption Edge
Practical insights on data adoption, analytics enablement, and AI governance - written for the leaders responsible for turning data investment into business results.
Across the United States, a growing coalition of cities and states is advancing responsible artificial intelligence frameworks that go well beyond federal guidance. Seattle, Texas, and California each...
How Global AI Governance Is Converging on Risk and Human Impact
Summary
Artificial intelligence regulation is often framed as fragmented and geopolitically divided. Yet recent developments in the Eur...
Responsible AI is often framed as a regulatory burden or ethical obligation. In practice, it is increasingly a source of competitive advantage. Organizations that embed governance, transparency, and r...
Responsible AI policy is no longer just a debate about values. It is increasingly a debate about implementation: who must do what, by when, under which oversight body, and with what evidence. Over the...
The NAACP Push That Could Reshape Medical Standards
Artificial intelligence is increasingly used in medicine to assist with diagnostics, risk stratification, treatment planning, and more. But because...
U.S. Attorneys General Demand Accountability for AI “Delusional Outputs”
As generative AI systems become more embedded in daily life, public officials are starting to treat their risks as a front-lin...
Why U.S. Attorneys General Are Forcing a New Era of Accountability
Generative AI systems have grown exponentially in reach and capability, but so have concerns about their reliability, safety, and po...
What the International AI Safety Report Signals for Policymakers
The rapid acceleration of AI capabilities has made governance more urgent than ever, but most regulatory conversations still focus on ...
The State of U.S. AI Regulation in 2025
The regulatory landscape for artificial intelligence in the United States has entered a transitional and often contradictory phase. While federal agencies cont...
The EU's Evolving AI Governance Strategy
As governments race to regulate artificial intelligence, the European Union has long positioned itself as the world’s standard-setter. Yet in late 2025, the b...
How NIST’s AI Risk Management Work Pushes AI Risk Management Forward
Summary
The rapid expansion of generative AI, complex AI supply chains, and emerging attack techniques has put unprecedented pres...
How Local and Sector-Specific AI Governance Is Taking Off
As national and international AI laws continue to evolve, a different story is unfolding on the ground: cities, medical associations and sect...