Practical AI governance guides, regulatory analysis, and research, for enterprise leaders, businesses, and individuals navigating the AI landscape.
Boards, APRA, ASIC, controls & programmes
Start herePrivacy Act, ACCC consumer law, AI6 basics
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Start hereYour rights, Right to Disconnect, AI at work
Start hereThe UAE has no single AI law but three concurrent binding frameworks: the Federal PDPL (effective January 2026), DIFC Regulation 10 on autonomous AI systems (full enforcement January 2026), and ADGM data protection rules. Plus the world's first national AI system as an advisory Cabinet member.
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China has the world's most complete suite of AI-specific regulations, the Algorithm Recommendation Provisions, the Deep Synthesis Provisions, and the Generative AI Service Management Provisions, all alongside PIPL's comprehensive data protection framework. Here is the complete picture.
2026
Germany sits at the heart of EU AI Act implementation. BaFin has specific expectations for AI in financial services. The BSI sets cybersecurity standards for AI systems. German market surveillance will set enforcement precedent across the EU.
2026
Cybersecurity organisations face a dual governance challenge: governing their own use of AI in threat detection, incident response, and security products; and advising clients on AI-specific cybersecurity threats. Both dimensions create specific governance obligations.
2026
AI in real estate, automated valuation models (AVMs), tenant screening algorithms, mortgage underwriting AI, property recommendation engines, intersects with fair housing law, anti-discrimination law, and consumer protection in ways that create significant legal exposure. Here is the governance picture.
2026
If your employer uses AI to monitor you, assess your performance, or make decisions about your employment, you have rights. This plain-English guide covers what employers can and cannot do with AI in the workplace across Australia, the UK, the EU, and the US.
2026
Hong Kong operates a distinct AI governance framework under common law, with PCPD enforcing the Personal Data (Privacy) Ordinance, SFC and HKMA setting financial sector expectations, and increasing alignment with Mainland China's CAC regulations creating a unique dual-compliance environment.
2026
ASEAN has a regional AI governance framework built on voluntary principles, but individual member states, Thailand, Vietnam, Indonesia, Malaysia, Philippines, are developing their own approaches at different speeds. Here is the complete picture for organisations operating across Southeast Asia.
2026
When a company uses AI to make decisions about you, whether to give you credit, show you content, screen your job application, or set your insurance premium, you have rights. This plain-English guide explains what they are and how to use them.
2026
Before you type anything into an AI tool, you should understand where your data goes, what the AI can and cannot do, and how to use it responsibly. This practical guide covers the essentials every person needs to know.
2026
AI in agriculture, precision crop management, autonomous farm machinery, livestock monitoring, supply chain optimisation, and climate adaptation AI, creates a distinctive set of governance challenges at the intersection of agricultural regulation, product safety law, and data sovereignty.
2026
If you've heard 'AI governance' and wondered what it actually means in practice, not the jargon, just the real thing, this guide is for you. What it is, why organisations need it, and what happens when they do not have it.
2026
Before you type anything into ChatGPT, Copilot, or any other AI tool at work, there are seven things worth checking. Most people skip all of them. Here's what they are and why they matter.
2026
Most large employers now use AI to filter job applications before any human reads them. This plain-English guide explains how these systems work, what they look for, and what rights you have when AI decides your application goes no further.
2026
Banks and lenders increasingly use AI to make credit decisions. If an algorithm rejected your application, you have rights, including the right to a reason, the right to human review, and in some cases the right to challenge the decision.
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Insurers are using AI to set premiums, assess claims, and decide renewals. These systems can save money, or cost you significantly more than you should be paying. What the AI looks at, and what you can do about it.
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What to do when you think your employer's use of AI is unfair, inappropriate, or illegal, how to raise concerns effectively, what your rights are, and when to escalate.
2026
Directors are personally exposed when AI governance fails. D&O insurance has explicit carve-outs for technology governance failures. The personal liability landscape for AI has changed materially in the last 18 months, and most boards do not know it.
2026
AI creates legal exposure across contract, tort, employment, data protection, consumer, and regulatory law simultaneously. General Counsel need a framework for assessing and communicating this exposure. Here it is.
2026
Chief Risk Officers in financial services face AI risk from three directions simultaneously: model risk, conduct risk, and operational risk. Traditional risk frameworks were not built for this. Here is how to adapt them.
2026
AI expands the attack surface, creates new cybersecurity obligations under NIS 2 and sector-specific regulation, and introduces adversarial AI risks most security programs have not addressed. The CISO's practical briefing.
2026
Private equity and venture capital investors are acquiring AI-exposed assets without adequate governance due diligence. The liability inherited on closing can be material. Here is the framework that experienced AI governance advisors use.
2026
AI regulatory penalties are not theoretical. The EU AI Act allows fines of €35M or 7% of global turnover. GDPR AI violations have already resulted in nine-figure penalties. CFOs need to quantify this exposure and build it into risk management. Here is how.
2026
Most organisations believe their AI governance is more mature than it is. This structured self-assessment, used by governance advisors in enterprise engagements, reveals the gaps between perceived and actual AI governance maturity.