How to manage AI risk for safe and ethical systems

A key theme with our customers is the tenets of AI risk management, providing the foundation on which to build compliant and responsible AI. Part of our process is assessing the three pillars of AI risk management: technical excellent, operational control and ethical assurance. As part of our work, we're now supporting clients looking ahead to 2026: and what's coming from new EU, UK and US legislation (including the EU AI Act). To support this effort, we've got a brand-new whitepaper out that outlines the key legislation coming in 2026 that the entire C-Suite in enterprise businesses need to be aware of. We also outline how to work with this legislation most effectively, especially for businesses working across multiple jurisdictions and balancing conflicting guidance. Download the whitepaper here ➡️ https://lnkd.in/eNNUzP3A #AILegislation #AILaw #AI #AI2026 #AITrends #EnterpriseAI #AIGovernance #ResponsibleAI #AICompliance #EUAIAct

With Minister Gallagher’s recent announcement of the Australian Public Service AI Plan 2025, conversations about responsible and strategic AI adoption in government have never been more important.   Our IPAA ACT partner MinterEllison has published AI Governance Framework, a resource that explores key considerations for AI governance, risk management, and ethical implementation. It’s a practical guide for leaders navigating this fast-evolving space.   📖 Check it out here: AI Governance Framework: https://lnkd.in/gD89KNrd And if you haven’t yet, read the APS AI Plan (linked in the comments below 👇 )

We trust our AI… but can we prove it? That’s the question many leaders are quietly asking as new regulations like the EU AI Act and U.S. AI risk management frameworks come into play. You might have strong data practices and model documentation, but still lack the governance foundation regulators expect. We often see teams who have fairness principles written down but no accountability structure to enforce them. Or models being deployed without clarity on who’s responsible for ethical oversight. It’s not bad intent—it’s missing governance. Start by mapping your AI lifecycle to existing compliance processes. Make sure roles, sign-offs, and review checkpoints are explicitly defined—not just assumed. If your policies don’t yet cover bias testing or model monitoring, that’s your first governance gap to address. Discover where your organization really stands. It’s a quick 5-minute diagnostic that helps organizations gauge their readiness around AI policies, risk, and compliance: 👉 https://lnkd.in/ecrmHKgC

We trust our AI… but can we prove it? That’s the question many leaders are quietly asking as new regulations like the EU AI Act and U.S. AI risk management frameworks come into play. You might have strong data practices and model documentation, but still lack the governance foundation regulators expect. We often see teams who have fairness principles written down but no accountability structure to enforce them. Or models being deployed without clarity on who’s responsible for ethical oversight. It’s not bad intent—it’s missing governance. Start by mapping your AI lifecycle to existing compliance processes. Make sure roles, sign-offs, and review checkpoints are explicitly defined—not just assumed. If your policies don’t yet cover bias testing or model monitoring, that’s your first governance gap to address. Discover where your organization really stands. It’s a quick 5-minute diagnostic that helps organizations gauge their readiness around AI policies, risk, and compliance: 👉 https://lnkd.in/ecrmHKgC

#FraudAwarenessWeek | AI is revolutionising how organisations govern third-party relationships, elevating oversight from periodic reviews to continuous, intelligent risk governance. 🛡️ 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘄 𝗵𝗼𝘄 𝗔𝗜 𝗳𝗹𝗮𝗴𝗴𝗲𝗱 𝗿𝗶𝘀𝗸𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗵𝗲𝗰𝗸𝘀 𝗺𝗶𝘀𝘀𝗲𝗱 𝗶𝗻 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗱𝘂𝗲 𝗱𝗶𝗹𝗶𝗴𝗲𝗻𝗰𝗲 https://social.kpmg/dtb8we #KPMGForensic #DueDiligence #AI #YouCanWithAI #ExecutiveDueDiligence #FraudRiskManagement

#FraudAwarenessWeek | AI is revolutionising how organisations govern third-party relationships, elevating oversight from periodic reviews to continuous, intelligent risk governance. 🛡️ 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘄 𝗵𝗼𝘄 𝗔𝗜 𝗳𝗹𝗮𝗴𝗴𝗲𝗱 𝗿𝗶𝘀𝗸𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗵𝗲𝗰𝗸𝘀 𝗺𝗶𝘀𝘀𝗲𝗱 𝗶𝗻 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗱𝘂𝗲 𝗱𝗶𝗹𝗶𝗴𝗲𝗻𝗰𝗲 https://social.kpmg/dtb8we #KPMGForensic #DueDiligence #AI #YouCanWithAI #ExecutiveDueDiligence #FraudRiskManagement

AI standards are changing—are you ready? Navigating the EU AI Act and ISO/IEC 42001 is now mission-critical for organizations adopting AI. But what do these new regulations really mean for your compliance and risk management strategies? Unlock expert insights on building trustworthy, transparent AI systems—without drowning in complexity. Our latest visual guide breaks down the essentials and actionable steps. Ready to simplify your AI governance journey? Explore more at Dynamic Comply. #AICompliance #AI #EthicalAI #AIGovernance #ComplianceConsulting #DynamicComply #ISO42001 #EUAIAct #NISTAI #AIRiskManagement #AIEthics #ResponsibleAI #TrustedAI #AIApp #AISaaS #AINews

Traveling out to LA this week to meet with clients and one question continually comes up, how do we manage the risk of implementing AI in our organization? Lots of people are trying to answer that now that AI has become an integral part of every day work. For my money, the most accepted and effective framework for AI Risk Management has been ISO 42001. Given recent EU AI regulations & even some new state laws in the US, it's been a great option regardless of how in depth your application of AI is. Below is a great infographic of how the standard might apply to your company.

The Guidance for Risk Management of Artificial Intelligence systems offers a structured framework to help EU institutions, bodies and agencies identify and mitigate risks to fundamental rights when personal data is processed through AI.

AI risk is business risk. RSM’s AI Governance Framework provides a structured approach to manage ethical, secure and compliant AI programs. Click to learn more. #AIGovernance #ResponsibleAI #RiskManagement https://rsm.buzz/49eEyl8