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Thank you @Thaddeus Dziekanowski for posting.The enclosed article from Gallagher raises many questions for the insurance industry, as companies move ahead and adopt AI. AI changes significantly the risk profile of those companies that either directly or indirectly adopt or are influenced by AI. AI brings unique risks to organisations, risks that are dependent upon organisations ability to govern cyber, cloud and data risks, that in turn compounds the affects of AI risks. As AI makes decisions on behalf of those companies that adopt it and consumes data both from within and from outside of an organisation and uses algorithms and organisation may not control. That AI regulation aims to address.https://lnkd.in/eWb2PipCThe EU introduced Ai regulation through the Eu AI Act, that came into affect earlier this year, requiring those that develop and deploy AI to consider the risks associated with their products and services. https://lnkd.in/e_neENyZOn top of a significant number of Federal AI related bills introduced in Congress, US states are now moving ahead with AI legislation that have similarities with the EUs AI Act (which makes sense).At the federal level, more than 100 AI-related bills have been introduced in Congress, with most emphasizing transparency, accountability, and consumer protection, according to the report. Specific industries are receiving targeted attention, with the Federal Trade Commission issuing guidelines on AI transparency and the National Institute of Standards and Technology (NIST) developing crucial governance frameworks.Veritas GRC has developed Board Governance over AI education programs specifically designed with NIST AI RMF, ISO 42001 and the EU AI Act in mind. Introducing leaders to the concept of AI, AI risk management and AI governance. Alongside the governance of cyber, data and cloud risk.Brian D. McCarthy Faisal Khan Olaf Classen#cybersecurity #cyberriskmanagement #ai #aigovernance #cybergovernance
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