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RESEARCH & PROFESSIONAL PRACTICE / SPECIALIST

SEC310Responsible AI, privacy & AI-system security

24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief

Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.

BEFORE YOU BEGIN

A clear starting point.

Prerequisites: AI320 · MLO401

Specialist studio; environment and faculty must be confirmed before scheduling

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in responsible design.
  2. Complete the practical: threat-model a small AI application and demonstrate one bounded attack case and an evidence-backed mitigation.
  3. Defend the resulting threat model with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Responsible design

  • Stakeholders
  • harms
  • fairness
  • accessibility
UNIT 026 h allocated

Data protection

  • Minimisation
  • consent context
  • retention
  • access controls
UNIT 036 h allocated

AI threats

  • Prompt injection
  • data poisoning
  • model leakage
  • insecure tool use
UNIT 046 h allocated

Governance

  • Threat modelling
  • evaluation
  • incident response
  • human accountability

THE TRAINING STUDIO

Make the subject
visible in your work.

Threat-model a small AI application and demonstrate one bounded attack case and an evidence-backed mitigation.

Evidence to produce

  • Threat model
  • access tests
  • misuse evaluation
  • incident runbook

Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.

ASSESS THE REASONING

A question you
should be able to answer.

Why does a prompt instruction not replace server-side authorisation?

Review dimensions

Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.

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