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Navigating AI Risk Management: A Guide to ISO/IEC 23894:2023 Standards

AI Ethos series
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The ISO/IEC 23894:2023 standard is a guide for organizations to manage the risks associated with artificial intelligence systems. The standard provides a framework for identifying, assessing, and mitigating risks throughout the AI system lifecycle. It covers a wide range of topics, including data quality, algorithmic transparency, bias mitigation, ethical oversight, adversarial resilience, and governance

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    6月18日 ・ 「AI ETHOS SERIES」限定

    AI Ethos Series Subscriber Audio

    Welcome to the ESG Ethos Series — the podcast where artificial intelligence, environmental strategy, and technology regulation converge. I’m your host, and each week, we bring you sharp, policy-focused conversations at the intersection of AI ethics, ESG frameworks, and the global governance of emerging technologies. From carbon-conscious computing and responsible algorithm design, to corporate AI disclosures, AI Act compliance, and impact audits — this is the space where the future of responsible technology is being shaped. Whether you're a policymaker, technologist, ESG strategist, or an AI builder navigating the regulatory landscape, you'll gain timely insights from top voices in AI law, sustainability leadership, tech ethics, and governance. As a subscriber, you’ll unlock: Early access to expert interviews and panel discussions Deep dives into AI policy developments and ESG reporting standards Special segments on algorithmic accountability, digital rights, and sustainable innovation This is more than a podcast — it’s a platform for critical thinking, practical guidance, and forward-looking leadership. So go ahead — hit that Follow button on Apple Podcasts, and subscribe to the ESG Ethos Series. Join the movement that’s redefining how we build, govern, and sustain intelligence for the greater good.

    1 分鐘

  2. 2024/11/06

    Navigating AI Risk Management: A Guide to ISO/IEC 23894:2023 Standards

    The ISO/IEC 23894:2023 standard is a guide for organizations to manage the risks associated with artificial intelligence systems. The standard provides a framework for identifying, assessing, and mitigating risks throughout the AI system lifecycle. It covers a wide range of topics, including data quality, algorithmic transparency, bias mitigation, ethical oversight, adversarial resilience, and governance. The standard includes case studies and tutorials to demonstrate how to implement the framework in various organizational contexts and sectors.

    30 分鐘
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The ISO/IEC 23894:2023 standard is a guide for organizations to manage the risks associated with artificial intelligence systems. The standard provides a framework for identifying, assessing, and mitigating risks throughout the AI system lifecycle. It covers a wide range of topics, including data quality, algorithmic transparency, bias mitigation, ethical oversight, adversarial resilience, and governance

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