AI Governance

EU Push to Open Android Signals Next Front in AI Competition Battle

The European Commission is turning to how artificial intelligence operates on mobile devices, unveiling preliminary measures that could force Google to open up key parts of its Android ecosystem to rival AI services.

EU Lawmakers Enter Crucial AI Negotiations as Push Builds for Pre-August Rule Changes

European lawmakers are heading into a decisive round of negotiations this week that could reshape key elements of the bloc’s artificial intelligence rulebook and accelerate how quickly those changes take effect.

Five Ways GRC Professionals Are Actually Using AI & the One Place I Will Not Put It

About a year ago, a risk analyst on one of my client teams told me she had just reviewed a 94-page SOC 2 report in twelve minutes. She used Claude. She did it at her kitchen table at 9 PM because she had two kids and the workday had long since ended.

AI Authorization Is Not AI Accountability

Across large enterprises, boards are approving AI governance frameworks. The policy approval meeting has become a standard board agenda item: AI use case register, model risk policy, ethics principles, human oversight requirements. The vote passes. The governance record is clean.

AFM Finds AI Use Accelerating in Asset Management as Governance & Controls Lag

The Netherlands Authority for the Financial Markets has warned that artificial intelligence is being adopted rapidly across the Dutch asset management sector, but many firms are still falling short on governance, policy, and internal controls.

Meta Hits Pause on Mercor as Breach Sends a Chill Through AI’s Data Supply Chain

Meta has paused its work with data vendor Mercor after a security breach that may have exposed sensitive elements of how leading AI models are trained. The decision, first reported by WIRED, is open-ended. For now, the work simply stops.

White House Releases AI Legislative Recommendations Focused on Child Safety, Innovation, & Federal Standards

The White House has released a set of legislative recommendations outlining how Congress should approach artificial intelligence policy, offering a framework that spans child protection, economic infrastructure, intellectual property, and federal-state coordination. The March 2026 proposals stop short of introducing a single, overarching regulatory regime, instead setting out a series of targeted measures intended to guide AI development and oversight across sectors.