AI governance in Australian financial services.
Australian banks, insurers, super funds, and credit providers face overlapping AI obligations from at least four regulators. This is the complete map.
Your regulatory obligations at a glance
Nine frameworks. All active. Map your AI systems against each.
AI systems in material business activities are operational risks requiring documented management, testing, and oversight.
HighAI systems are information assets subject to information security standards, including third-party vendor assessments.
HighAI risk must be identified and managed within the enterprise risk management framework with board visibility.
HighAI-driven credit assessment must comply with NCCP Act responsible lending obligations. Automation does not reduce liability.
HighAI-assisted financial advice and robo-advice systems must comply with Corporations Act Chapter 7 best interests duty.
HighAI-driven decisions are subject to Internal Dispute Resolution requirements — customers must have access to meaningful explanations.
MediumPrivacy policy must address AI use. Customer data collection and use for AI must comply with original collection purpose.
HighAI-generated product representations must not be misleading. Dynamic pricing AI subject to unconscionable conduct provisions.
MediumSuperannuation funds: AI use of member data must be solely for the purpose of providing member retirement benefits.
HighGuidance for Australian financial services AI
Detailed analysis of every regulatory framework that applies.
Priority actions for financial services AI governance
Conduct a full AI system inventory — map every AI system to the applicable APRA, ASIC, OAIC, and ACCC obligations
Assess your model risk management framework — does it adequately cover ML models including explainability, drift monitoring, and distributional assumptions?
Review credit decisioning AI for responsible lending compliance — independent legal assessment of AI methodology is required
Audit your privacy policy — does it accurately describe AI use of customer data? APP 1 requires it
Establish customer explanation mechanisms for AI-driven adverse decisions (credit refusals, insurance denials, claim rejections)
For super funds: obtain legal advice on sole purpose test compliance for any AI that uses member data for purposes beyond direct member benefit
Brief your board on AI risk — APRA and ASIC both expect board-level awareness and oversight of material AI risk
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