ISO/IEC 42001:2023 AIMS Risk Management

Malaysia ISO Consultant

Overview

How well do you understand and manage your AI risks?

AI systems can introduce risks and potential impacts involving areas such as reliability, transparency, data, security, privacy and bias. Managing these considerations requires a structured approach across the relevant stages of the AI system lifecycle.

This in-house Risk Management Training introduces participants to a risk-based approach for managing AI-related risks and impacts under ISO/IEC 42001:2023. Participants will learn how to identify AI risks, assess potential impacts, implement appropriate controls, address issues such as bias, transparency, security, privacy and reliability, and monitor the effectiveness of AI risk treatments.

What you will learn

  • Identify AI Risks Across the Lifecycle
  • Assess Potential AI Impacts
  • Determine Appropriate Controls
  • Address Bias, Transparency, Security, Privacy and Reliability
  • Monitor Risk-Treatment Effectiveness

Who should attend

This course is designed for AI risk owners, data and AI teams, managers and others involved in identifying, assessing or treating AI-related risks in line with ISO/IEC 42001:2023.

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