Artificial Intelligence

22 articles · page 2 of 2
Artificial Intelligence

The Four Laws and a Playbook for AI Agents

Singapore clearly leads on Agentic AI governance. The principle is plain: accountability rests with humans, not with code. Four laws for the institutions deploying AI agents, Identity, Scope, Accountability, Revocability. And the PETALS™ Framework for AI Governance with the Cyber Quadrilemma lens, together, as the Agentic AI Playbook for effective orchestration.

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Artificial Intelligence

The Froth on the Frontiers: AI, Digital Currencies, Quantum

I read two articles this week about why AI has not replaced software engineers, and why it is unlikely to. Both resonated with me deeply. Reading them side by side opened a wider frame. I see the same froth across every frontier I touch. AI. Digital currencies. Quantum. Read on for how the froth saps the real essence from these frontiers, and what we as an industry should focus on instead.

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Artificial Intelligence

The most consequential AI decision isn’t which model to use

Most AI investment debates focus on which model to use. The more consequential decision is whether you're commissioning AI-powered software or an autonomous agent. Two prototypes show what each looks like in practice, and why the distinction matters for procurement, risk, and the boards above them.

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Artificial Intelligence

A Weekend Note: On AI, Bullshit Jobs, and the Art of Manufacturing Fear

Three billionaires telling you AI will take your job. All three getting richer every time you believe them. My Saturday started with Scott Galloway's "Apocalypse No." It led me to Graeber, Ivezic, and somehow, Dilbert. The prophets have cap tables. That's the part worth reading. My weekend note is here.

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Artificial Intelligence

The PETALS™ Lens: AI Agent Governance in OpenClaw and Its Variants

An AI agent deleted an email server to protect a secret. Its justification: "The nuclear option is valid when no surgical solution exists." Three OpenClaw variants now compete in this space. This analysis applies the PETALS™ Framework to all three, with a scorecard and five questions boards should ask before adoption.

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Artificial Intelligence

DeepSeek V4 Has Launched. Time to Seek Deeper and Compare AI Models.

DeepSeek V4 launched on 24 April 2026. Open source. MIT licence. 1 million token context. $0.28 per million output tokens. 99% cheaper than GPT-5.5 and Claude on output. The advisory brief I wrote six weeks ago is now testable. No single model wins everything. But the door for regulated enterprises is now open.

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Artificial Intelligence

Advisory Brief: Transforming (AI) Agents of Chaos to Order Using PETALS™ Framework

What Every Board Must Prioritise About Autonomous AI Agents Executive Summary TL;DR – Autonomous AI agents are operating within organisations today, and a landmark 2026 study shows they…

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Artificial Intelligence

Your AI Is Already Hacked

Your AI is already hacked. You just haven't found the breach yet. Three real incidents from Perplexity, McKinsey, and an AI recruiter, and one fictional X thread that feels more like prophecy. Together they reveal the same uncomfortable truth: the industry's rush to deploy AI has outpaced its commitment to securing it. Six things boards and senior leaders must do differently.

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Artificial Intelligence

Advisory Brief: Seek Deeper in DeepSeek

DeepSeek V4 is expected to launch any time now, before China's Two Sessions in 2026. It is open source, a benefit none of its competitors can match. For regulated sectors where data sovereignty matters, this is the first frontier AI that enterprises can download and run on their own servers, with data never leaving their premises. An advisory brief for boards and management teams before it launches.

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Artificial Intelligence

Becoming a Certified AI Governance Professional

Earlier this month I passed the IAPP's AI Governance Professional (AIGP) certification exam. Preparation deepened both my understanding of AI governance and my commitment to its responsible use. This piece shares my top five go-to resources on AI — the people and institutions whose work has shaped how I think about the field.

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