Responsible AI Governance

Traceable. Explainable. Attributable.

Sapheos systems are designed to support institutional accountability at every step of the evaluation process.

This is particularly important for final dissertations, capstones, and internship-based assessments, where AI can affect the evidence on which decisions are made.

Core Principle

Every output can be traced back to:

• explicit criteria
• documented reasoning
• identifiable inputs

No decision logic is hidden.

Decision Boundaries

AI supports analysis and structuring.

Final decisions remain:

• human
• attributable
• institutionally controlled

System Design

Evaluation logic is:

• explicit
• documented
• reproducible

Criteria are applied consistently across submissions.

Regulatory Alignment

System design supports responsible AI practices aligned with Australian higher education expectations, including TEQSA's September 2025 guidance on AI and assessment reform and institution-level accountability requirements.

Outcome

Academic decisions become:

• explainable
• auditable
• defensible