AI regulation

3 stories filed under AI regulation on Beyond Market Intelligence. The newest of them: “The push for AI regulation finds an unlikely benchmark in household appliances”, “Why AI Needs a Trust Architecture Built for Human Control”, and “An AI researcher's exit demands we explore safety over speed.”. Microsoft president Brad Smith has a point: it's easier to regulate a washing machine than an AI company. Microsoft's CEO used a Saturday morning post to call for a step back, a chance to assess AI's trust architecture. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every AI regulation story on Beyond Market Intelligence, newest first.

The push for AI regulation finds an unlikely benchmark in household appliances
TechCrunch

The push for AI regulation finds an unlikely benchmark in household appliances

Microsoft president Brad Smith has a point: it's easier to regulate a washing machine than an AI company. That's a strange reality check. If we can require safety standards for a milk carton, we can demand more from technologies that shape how we work and live. It's time to explore smarter oversight. For a contrasting look at AI's potential, see how it's empowering developers to rebuild familiar software from scratch.

Why AI Needs a Trust Architecture Built for Human Control
TechCrunch

Why AI Needs a Trust Architecture Built for Human Control

Microsoft's CEO used a Saturday morning post to call for a step back, a chance to assess AI's trust architecture. That's the right instinct. Control shouldn't be an afterthought; it should be the foundation. We've seen how risky agent actions can slip through, which is why a decision-first model matters. Pair that with Amazon's move to drop NDAs in data center talks, and a clearer pattern emerges: trust is becoming the practical edge. Explore how these pieces fit.

An AI researcher's exit demands we explore safety over speed.
TechCrunch

An AI researcher's exit demands we explore safety over speed.

Anthropic researcher Jacob Coxon resigned with a stark warning: self-improving AI risks gambling with our lives. His exit underscores a pressing need for pacing agreements between labs, a call we take seriously. This isn't about fear-mongering; it's about foresight. When brilliant minds step away to sound alarms, we should listen. Explore the Forrester Function to see how we approach complex systems, but here, the message is simpler: progress demands prudence, not just capability.