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    ISO 42001 - Artificial Intelligence (AI) Management System

    Posted By: lucky_aut
    ISO 42001 - Artificial Intelligence (AI) Management System

    ISO 42001 - Artificial Intelligence (AI) Management System
    Published 5/2025
    Duration: 1h 15m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.29 GB
    Genre: eLearning | Language: English

    ISO 42001 & AI Regulatory Frameworks - Establishing Ethical, Secure, and Compliant AI Governance

    What you'll learn
    - Learn to identify, evaluate, and manage AI-related risks, including ethical concerns, regulatory obligations, and operational challenges.
    - Develop skills to implement structured AI policies, governance controls, and lifecycle management practices for AI transparency and accountability.
    - Align AI strategies with global governance standards, including EU AI Act, OECD AI Guidelines, and NIST AI RMF, ensuring compliance and fairness in AI operation
    - Gain a understanding of ISO 42001's structure, principles, and compliance requirements, ensuring responsible AI implementation.

    Requirements
    - While no strict prerequisites are required, learners with basic AI knowledge and governance awareness will benefit the most from this course.

    Description
    Artificial intelligence is transforming industries, but without structured governance, it can pose ethical, legal, and operational risks. This comprehensive course onISO/IEC 42001provides asystematic approach to AI governance, ensuring organizations deploy AIethically, securely, and transparentlywhile adhering to global compliance standards.

    What You’ll Learn:

    Understanding ISO 42001– Explore the core principles, structure, and compliance requirements of the first international AI management system standard.

    AI Risk Assessment & Mitigation– Learn strategies foridentifying and managing AI-related risks, ensuring responsible AI deployment.

    Governance & Leadership in AI– Discover howtop-level executives, AI practitioners, and compliance officersalign AI strategy with ethical policies.

    Operational Controls & AI Lifecycle Management– Implementstructured AI policies, risk frameworks, transparency measures, and continual monitoringto ensure AI accountability.

    Regulatory & Ethical AI Compliance– Gain insights intoglobal AI regulations, including theEU AI Act, OECD AI principles, and NIST AI RMF, ensuring AI aligns with evolving governance models.

    Who Should Enroll?

    - AI & IT professionals seekingexpertise in AI governance frameworks.

    - Compliance officers and executives managingAI risk assessment & ethical AI oversight.

    - Business leaders integrating AI intoenterprise strategy while ensuring transparency & accountability.

    Course Benefits:

    -Master AI governance structures, ensuring compliance with ISO 42001.

    - Implement risk mitigation strategies, safeguarding AI systems against ethical and operational failures.

    - Gain a structured approach to AI transparency, fairness, and accountability, fostering trustworthy AI ecosystems.

    By the end of this course, you will be equipped withISO 42001 AI governance knowledge, enabling you tolead responsible AI implementationand shape AI policies that align withindustry best practices and ethical AI frameworks.

    Who this course is for:
    - Developers, engineers, and architects seeking expertise in AI lifecycle management, compliance, and risk mitigation.
    - ompliance Officers & Risk Managers – Professionals overseeing AI governance, audits, and regulatory alignment with global standards.
    - Decision-makers integrating AI into enterprise strategies while ensuring ethical implementation.
    - Policy Makers & Legal Experts – Individuals involved in AI regulations, shaping governance policies for organizations and governments.
    - Academics & Researchers – Scholars studying AI management systems, ethical AI frameworks, and responsible AI deployment.
    More Info

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