title: Ensuring AI Reliability & Safety theme: white transition: slide class: center, middle

Supporting APS Agencies

Reliability & Safety in AI Systems

How BixeLab Assists Under the AI Assurance Framework – Section 5

Our Role as a Test Lab

At BixeLab, we help APS agencies evaluate and assure:

• AI reliability under real-world conditions
• Data suitability and traceability
• System safety, fairness, and accountability

Aligned with:
✅ AI Assurance Framework
✅ GovAI platform
✅ AI Technical Standards

5.1 Data Suitability – How We Help

We assess data quality to ensure it is fit for purpose:
🔹 Accuracy, completeness, and consistency
🔹 Provenance, lineage, and labelling integrity
🔹 Volume sufficiency for reliable performance

✅ We provide structured data suitability reports
✅ We flag risks in training, testing, and evaluation datasets

5.2 Indigenous Data – How We Help

When systems involve Indigenous data or impact Indigenous peoples:
🔹 We advise on technical alignment with the Framework for Governance of Indigenous Data
🔹 We work with cultural governance experts to inform test protocols
🔹 We identify risks of misrepresentation or misuse

✅ We assist with evidence for ethical compliance and respectful design

5.3 Suitability of Procured Models – How We Help

If you're using open-source, vendor, or custom models:
🔹 We run external benchmarking and stress testing
🔹 We identify known model limitations and architecture risks
🔹 We validate documentation, versioning, and traceability

✅ Independent suitability assessments for procurement or reuse
✅ Support model selection in the ICT Investment Process

5.4 Testing – How We Help

We design and execute testing aligned with APS use cases:
🔹 Functional testing and performance benchmarking
🔹 Bias and edge-case evaluations
🔹 Liveness detection and spoof resistance (for biometric AI)

✅ We deliver test plans, traceable results, and corrective guidance
✅ Testing against APS standards, ISO/IEC, NIST

5.5 Pilots – How We Help

🔹 We support pre-deployment pilots with sandbox or live-in-field testing
🔹 We help agencies evaluate:

• Stability
• Failover handling
• Feedback mechanisms
  🔹 We assist with pilot planning and lessons-learned reviews

✅ Pilot outcome analysis & system refinement guidance

5.6 Monitoring – How We Help

We help define monitoring frameworks for APS operations:
🔹 KPIs for drift, failure rates, demographic discrepancies
🔹 Threshold setting and alerting mechanisms
🔹 Re-validation triggers and audit log requirements

✅ Custom monitoring plans tailored to agency risk appetite
✅ Integration with BAU assurance cycles

5.7 Human Oversight & Disengagement – How We Help

🔹 We define safe fallback and disengagement pathways
🔹 We review decision traceability and override protocols
🔹 We validate human-in-the-loop controls

✅ Structured playbooks for intervention readiness
✅ Assist with documentation for contestability & accountability

Summary: Where We Add Value

Let’s Work Together

We help APS teams build AI systems that are reliable, fair, and ready for public service.
📍 Based in Canberra
📐 ISO/NIST-aligned methods
🔍 Trusted by governments globally

📧 ted@bixelab.com
🌐 www.bixelab.com

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