You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
- Fix YAML configuration error in mkdocs.yml (commented out problematic emoji extension)
- Fix broken internal links in glossary.md (add proper directory prefixes)
- Resolve build failures and ensure site builds successfully
- All critical technical issues from review have been addressed
Copy file name to clipboardExpand all lines: docs/glossary.md
+10-10Lines changed: 10 additions & 10 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -29,16 +29,16 @@ The simulation of human intelligence by machines, especially computer systems. I
29
29
Voluntary principles from the Australian Government that set practical expectations for safe and responsible AI. They help organisations align practice with community standards and emerging regulation.
30
30
31
31
## AI Incident
32
-
Any harmful, biased, unsafe or unexpected behaviour from an AI system (e.g., discriminatory outputs, privacy breaches, safety risks). Log and review with an [AI Incident Report](ai-incident-report-form.md).
32
+
Any harmful, biased, unsafe or unexpected behaviour from an AI system (e.g., discriminatory outputs, privacy breaches, safety risks). Log and review with an [AI Incident Report](governance-templates/ai-incident-report-form.md).
33
33
34
34
## AI Inventory (System Register)
35
35
A catalogue of AI systems and use cases across the organisation, including owners, purpose, data sources, risks and status. Supports accountability and audits.
36
36
37
37
## AI Risk Assessment
38
-
A structured process to identify, analyse and mitigate risks for AI systems and use cases. Often mapped to ISO/IEC 42001 (management systems) or ISO/IEC 23894 (risk management). Start with the [AI Risk Assessment Template](ai-risk-assessment-checklist.md).
38
+
A structured process to identify, analyse and mitigate risks for AI systems and use cases. Often mapped to ISO/IEC 42001 (management systems) or ISO/IEC 23894 (risk management). Start with the [AI Risk Assessment Template](governance-templates/ai-risk-assessment-checklist.md).
39
39
40
40
## AI Use Policy
41
-
An internal policy that sets boundaries, roles and responsibilities for AI tools. Defines acceptable use, prohibited use, data handling and incident escalation. See the [AI Use Policy Template](ai-use-policy.md).
41
+
An internal policy that sets boundaries, roles and responsibilities for AI tools. Defines acceptable use, prohibited use, data handling and incident escalation. See the [AI Use Policy Template](governance-templates/ai-use-policy.md).
42
42
43
43
## Algorithmic Impact Assessment (AIA)
44
44
An assessment of potential impacts (e.g., fairness, safety, human rights). In Australia this is often paired with a Privacy Impact Assessment (PIA) where personal information is processed.
@@ -161,22 +161,22 @@ A subset of personal information (e.g., health, biometrics, racial or ethnic ori
161
161
Use of unapproved AI tools by staff. Mitigate through clear policy, training, approved toolkits and monitoring.
162
162
163
163
## Template Library
164
-
A collection of standardised documents (policy, risk, incident, vendor, register) to support safe AI adoption. See the [Template Library](policy-template-library.md).
164
+
A collection of standardised documents (policy, risk, incident, vendor, register) to support safe AI adoption. See the [Template Library](governance-templates/policy-template-library.md).
165
165
166
166
## Transparency
167
167
Clarity about how an AI system works, what data it uses and how decisions are made. Supports accountability, trust and compliance.
168
168
169
169
## Vendor Due Diligence (AI)
170
-
Assessing third-party AI tools for security, privacy, reliability and compliance. Use the [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md).
170
+
Assessing third-party AI tools for security, privacy, reliability and compliance. Use the [AI Vendor Evaluation Checklist](governance-templates/ai-vendor-evaluation-checklist.md).
0 commit comments