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Safety-Critical and High-Risk AI Systems Training

Advanced, safety-first AI training where failure is not an option.
Manage AI risks, hazards, and failure modes using proven safety principles and assurance, led by AI standards experts.

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IN-PERSON

Not Applicable

ONLINE

Global Sessions

FORMAT

Practical,
scenario-based

CORE REFERENCES

EU AI Act
ISO/IEC 42001, 23894, 31000, 61508

Expert Guidance for High-Stakes AI

This programme is built for teams developing or overseeing AI where failure carries operational, legal, or safety consequences. It treats AI as part of a broader socio-technical system, addressing risks, loss of control, and failure modes that extend beyond model performance.

By aligning AI safety standards, system engineering practices, and regulatory expectations, it helps teams design and operate AI that performs reliably in real conditions. The result is high-integrity, defensible systems that stand up to scrutiny in operation, not just in testing.

Designed for Teams Accountable for AI Outcomes

Experienced Professionals

Senior practitioners and subject-matter experts.

Technical Experts

AI architects, system and safety engineers, and risk specialists.

Specialised Consultants

Consultants and advisors working with regulated, safety/mission-critical systems.

Programme Learning Goals

  • Risk Differentiation

    Distinguish high-risk and safety-critical AI operationally

  • Challenge Assumptions
    Identify how AI disrupts traditional safety logic

  • Detect Failure Patterns

    Recognise model drift, bias, and oversight loss

  • Apply Governance

    Implement accountability and assurance for high-stakes AI

  • Design for Longevity

    Engineer AI systems for sustained safe performance

Programme Content

DAY 1

Safety and Risk Foundations

  • Understand legal, governance and technical requirements for high-risk systems
  • Comprehensively identify all risks and conduct a root cause analysis of the specific use case
  • Apply AI governance and risk management for high-risk systems (eg medical, machinery, automotive etc)
DAY 2

Assurance, control, and safe operation

  • Design safety, governance, and technical controls: fail-safe behavior, human-in/on-the-loop, controlled degradation
  • Monitor, handle incidents, and manage lifecycle safety aligned to functional safety practices
  • Meet assurance, audit, and regulator expectations, including safety-case evidence for high-risk AI

Ready to transform AI ideas into
risk-aware solutions?

Let us know your interest. Our AI adoption expert will contact you to provide details and help your team get started with the programme.

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