Transparency
AIGP glossary · Last reviewed: · By Victor Humenhuk (AIGP certified)
Transparency - Making information available to stakeholders: a system's existence, capabilities, data, logic and limits.
In the AIGP body of knowledge, Transparency comes up under Module 8: AI Governance Vocabulary.
Transparency in context
- The [[Seven ethical issues]] responsible AI must address - lawfulness, safety, bias protection, transparency, choice, human intervention, security - and the [[Three foundational controls]] that mitigate ethical risk: ethical principles, an [[Oversight body]], and policies & procedures. (Seven ethical issues and three foundational controls)
- [[Explainability]] and transparency are the keys to trust; [[PETs]] support privacy-enhanced AI. (Trustworthy AI: the HAT test)
- The operational checklist for deciding which use cases meet an organisation's ethical principles - spanning legal review, equitable design, transparency, privacy & cybersecurity, data governance and culture. (Creating ethical AI in practice)
Where Transparency is covered in the AIGP study notes
Related terms
- AI governance
- Accountability
- AI assurance
- AI audit
- Oversight
- Explainability
- Interpretability
- Contestability
- Conformity assessment
- Impact assessment
Test yourself on Transparency
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