Accountability
AIGP glossary · Last reviewed: · By Victor Humenhuk (AIGP certified)
Accountability - Identified people/orgs answerable for an AI system's functioning and impacts; anchor of governance.
In the AIGP body of knowledge, Accountability comes up under Module 8: AI Governance Vocabulary.
Accountability in context
- ==AI drives the need for PETs==; blockchain is ==not universally applicable== to all AI privacy challenges; autonomous weapons raise accountability, bias and stability concerns. (Tech megatrends and AI)
- Know all five (mnemonic: Inclusive Humans Trust Robust Accountability) and that [[Robustness (OECD)]] is achieved by ==traceability== plus a ==risk management approach== - two methods, not one. (The five OECD AI Principles)
- Six direct business risks → bias & discrimination, job displacement, vendor dependence, liability & accountability, lack of transparency, IP infringement → then the regulatory and legal list. (Business, regulatory and legal risks)
Where Accountability is covered in the AIGP study notes
Related terms
- AI governance
- AI assurance
- AI audit
- Oversight
- Transparency
- Explainability
- Interpretability
- Contestability
- Conformity assessment
- Impact assessment
Test yourself on Accountability
Recognising a definition is not the same as applying it in an exam scenario. Work through the free AIGP practice questions, or read the full AIGP study guide - every study note is free.