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Explained

AI governance, explained clearly.

Definitive, accurate, jargon-light explanations of the key terms, frameworks, and regulations in AI governance. Written for practitioners, executives, and boards.

Foundation

What Is AI Governance?

Definition, the six pillars, and what good vs inadequate governance looks like in practice.

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Regulation

What Is the EU AI Act?

The world's first comprehensive AI law: scope, risk tiers, provider/deployer obligations, penalties, and enforcement timeline.

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EU AI Act

What Is High-Risk AI?

Full Annex III list: all 8 categories of high-risk AI, compliance obligations, and how to assess your systems.

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Standards

What Is ISO 42001?

The international AI management system standard: 10 clauses, certification, and how it compares to the EU AI Act.

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Frameworks

What Is the NIST AI RMF?

The US National Institute of Standards and Technology's AI Risk Management Framework: structure, core functions, and how to implement it.

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Australia

What Is the Privacy Act?

Australia's Privacy Act 1988 and the 13 Australian Privacy Principles — how they apply to AI, biometric data, and automated decisions.

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Australia

What Is APRA CPS 230?

Operational Risk Management for APRA-regulated entities — material business processes, third-party AI providers, and board accountability.

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Foundation

What Is Data Governance?

The policies, processes, and accountabilities governing data across its lifecycle — and why it is a prerequisite for AI governance.

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Foundation

What Is AI Ethics?

The principles and commitments guiding responsible AI — fairness, transparency, accountability, human oversight — and how they connect to regulation.

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Emerging Tech

What Is AGI?

Artificial General Intelligence defined — what it means, how it differs from narrow AI, and what the governance implications are for enterprise.

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Emerging Tech

What Is Agentic AI?

AI agents that plan, act, and use tools autonomously — the governance challenges they create and what oversight looks like in practice.

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The probabilistic technology behind ChatGPT, Claude and Copilot — and why it cannot be governed like conventional software.

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AI that produces text, images, code and audio from learned patterns. The most widely deployed AI category of 2024-26 and its governance obligations.

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AI systems that take autonomous sequences of actions to complete goals — with qualitatively different governance risks from ordinary tools.

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When AI produces systematically unfair outcomes for certain groups. Breach of Australian anti-discrimination law regardless of intent.

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Near-term operational risks from current AI and longer-term questions about advanced systems. Australia's AI Safety Institute established November 2025.

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Adverse consequences from incorrect, misused, or misunderstood quantitative and AI models. APRA expectations and validation frameworks explained.

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Identifying, assessing and controlling AI risks systematically. How NIST AI RMF, ISO 42001 and the AI6 framework structure the process.

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GDPR applies to any AI processing EU personal data. Automated decision-making rights, lawful basis, and what organisations must do.

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