AI governance

Human in the Loop 4.0 - human in the loop 4 0 a closed loop with human hand

Human in the Loop 4.0: How Human Feedback Guides the AI Approach That Automates About 84% of Decisions

A four-year study of 475,000 procurement decisions found that targeted automation executes about 84% of recommendations while keeping three times more human improvements than random automation. We unpack the study behind Human in the Loop 4.0, the four-step routing method, the RLHF-to-4.0 lineage, the governance rules converging on the same idea, and a practical playbook — plus the failure modes that turn a learning loop back into theatre.

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AI Human Oversight: What Happens When People Must Fix AI Mistakes?

AI human oversight is becoming an increasingly important issue as businesses allow artificial intelligence to handle more analysis, decisions and operational tasks. AI can help employees process information faster, automate repetitive work and improve productivity. However, when an automated system makes a mistake or encounters a situation it cannot handle, someone may still need to […]

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Trump’s Attempt to Rename AI Is Looking Awfully Artificial

Ten days after Executive Order 14434 told the federal government to say Super Intelligence, the old phrase is everywhere. We set out what the order requires, who adopted SI, and what a Federal Register search shows: two presidential uses of the new term and eleven agency uses of the old one. We cover the legal limits, the superintelligence collision, the polling, and what businesses should do.

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As AI Agents Grow, Vendors Carve Out Decision-Making as a Separate Model Layer

AWS, Cloudflare and OpenAI have joined TypeSafe in shipping decision models, small models that make the bounded choices inside AI agents while a larger model does the reasoning. InfoWorld’s sources warn the new layer brings stack sprawl, confidence scores that do not transfer between vendors, and decision schemas that encode business policy. We compare Jev, Clef, Strands Decider 2B, GLiNER2.5-Decide and the Decisions API on price and latency, then set out the calibration, governance and cost-per-decision work that decides whether the savings hold.

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Fired OpenAI Safety Researchers Dispute Their Dismissals in Open Letter

Tomek Korbak, Jasmine Wang and Mikita Balesni, the three safety researchers OpenAI fired in late September 2026, have published an open letter denying the company’s account and warning that their dismissals are making former colleagues afraid to speak. We set out what the letter says, each researcher’s own account, OpenAI’s 9 October reply, how the three demands compare with OpenAI’s answers, and what UK businesses can learn about outside auditors, mailbox access and written reasons for dismissal.

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AI Governance Consulting: From Framework to Technical Implementation

AI governance consulting should end with working controls, not a binder. This guide shows how an engagement turns ISO/IEC 42001, the NIST AI RMF and the EU AI Act into a technical control plane: discovery and a system register, testable control objectives, an AI gateway, guardrails, policy as code, release gates, logging and incident clocks, plus UK day rates, five engagement shapes and a worked 42-day example.

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Trump Announces an AI Czar for His Newly Created ‘Super Intelligence Force’

President Trump has named Director of National Intelligence Jay Clayton as his AI czar and chair of a new Super Intelligence Force. We set out who sits on it, what its 120-day charter asks for, how it compares with Space Force and earlier White House AI bodies, why Clayton calls not being first the biggest risk, and what it means for UK and EU buyers of AI.

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OpenAI Safety Employee Resigns Over Its ‘Broken’ Culture: What Nuclear Safety Culture Would Demand

David Robinson resigned from OpenAI saying its culture is broken and that frontier AI labs should run like nuclear power plants. We set out what nuclear safety culture actually involves: the Three Mile Island and Chernobyl lessons, the NRC’s nine traits, resident inspectors, one-hour reporting clocks, whistleblower law, the Davis-Besse failure, what AI labs have instead, and where the comparison breaks down.

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