This course equips professionals with the knowledge and tools to identify, assess, and mitigate AI-related risks within modern organisations. It explores the principles of AI governance, compliance, and ethics through globally recognised [...]
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This course equips professionals with the knowledge and tools to identify, assess, and mitigate AI-related risks within modern organisations. It explores the principles of AI governance, compliance, and ethics through globally recognised frameworks such as the NIST AI Risk Management Framework and the EU AI Act.Learners will gain hands-on experience applying these frameworks to real-world scenarios involving bias, security vulnerabilities, and transparency challenges. By the end of the course, participants will understand how to embed AI risk management within organisational strategy to ensure responsible, compliant, and ethical AI adoption.The course covers key international standards and frameworks that guide the development, deployment, and governance of AI systems. It covers standards, such as ISO 42001, ISO 42005, ISO 22989, and ISO 23894, ISO 38507, ISO 24028, ISO 23053 as well as frameworks like the NIST AI Risk Management Framework, and the MIT AI Risk Repository.

  • Explain the key concepts and principles of AI risk management and governance
  • Apply frameworks such as the NIST AI Risk Management Framework and the EU AI Act to evaluate compliance and ethical considerations
  • Identify and assess AI risks, including bias, data security, transparency, and accountability concerns
  • Develop and implement AI risk mitigation and incident response strategies
  • Integrate AI risk management into wider business and compliance frameworks
  • Analyse real-world case studies to identify lessons learned and best practices for AI risk control
  • Promote responsible AI use across the organisation through governance and continual improvement

Mám záujem o vybraný QA kurz