Governance, Risk & Compliance
Autonomous Systems Safety and Assurance
Turn Autonomous Systems Safety and Assurance into controlled practice by examining safety cases and requirements, human oversight and fallback, and completing a practical assurance case workshop.
Overview
Practical learning for workplace transfer.
Effective Autonomous Systems Safety and Assurance requires technical choices to survive operational scrutiny. The course moves from autonomy hazards and boundaries through human oversight and fallback, using peer review and scenario work to produce a feasible next-step plan.
Prerequisites
Relevant experience with Autonomous Systems Safety and Assurance is useful; technical depth is adapted to the cohort.
Objectives
- Frame autonomy hazards and boundaries for a defensible business decision.
- Diagnose safety cases and requirements against technical and operational evidence.
- Select and justify an approach to verification simulation and testing under realistic constraints.
- Establish ownership, controls, and measures for human oversight and fallback.
- Deliver the assurance case workshop output and defend it in a stakeholder review.
Target audience
- Governance, risk, compliance, legal-liaison, and assurance leaders
- Policy owners, internal auditors, and control specialists
- Technology, sustainability, procurement, and data program owners
- Executives accountable for oversight and evidence responsible for Autonomous Systems Safety and Assurance
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: autonomy hazards and boundaries
Establish acceptance criteria and evidence requirements before approving autonomy hazards and boundaries.
Peer-review the proposed autonomy hazards and boundaries approach for unintended effects and operational fit.
Resolve the scenario through a documented recommendation and escalation path.
Module 2: safety cases and requirements
Establish acceptance criteria and evidence requirements before approving safety cases and requirements.
Peer-review the proposed safety cases and requirements approach for unintended effects and operational fit.
Resolve the scenario through a documented recommendation and escalation path.
Module 3: verification simulation and testing
Establish acceptance criteria and evidence requirements before approving verification simulation and testing.
Peer-review the proposed verification simulation and testing approach for unintended effects and operational fit.
Resolve the scenario through a documented recommendation and escalation path.
Module 4: human oversight and fallback
Establish acceptance criteria and evidence requirements before approving human oversight and fallback.
Peer-review the proposed human oversight and fallback approach for unintended effects and operational fit.
Resolve the scenario through a documented recommendation and escalation path.
Module 5: assurance case workshop
Establish acceptance criteria and evidence requirements before approving assurance case workshop.
Peer-review the proposed assurance case workshop approach for unintended effects and operational fit.
Resolve the scenario through a documented recommendation and escalation path.
Materials provided
- Course workbook and specialist reference guide
- Applied case pack and decision worksheets
- Implementation checklist and action-plan canvas
- 4D Certificate of Completion
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
The Autonomous Systems Safety and Assurance cases are adapted to the client sector and conclude with a reviewable output, without claiming certification.
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