The five OECD AI Principles
The OECD AI Principles are the base layer many organisations copy into their governance frameworks. 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 OECD's principles for trustworthy AI are the base layer many organisations copy into their own governance frameworks. Know all five and the detail inside Robustness.
Inclusive Humans Trust Robust Accountability → Inclusive growth · Human rights & democratic values · Transparency & explainability · Robustness, security & safety · Accountability.
- 🌱 Inclusive growth, sustainable development & well-being → trustworthy AI advances inclusive growth and global development objectives → encourages responsible AI stewardship by stakeholders.
- 🕊️ Human rights & democratic values → design respects the rule of law, human rights, democratic values and diversity, with safeguards ensuring fairness, privacy and justice.
- 🪟 Transparency & explainability → transparency and responsible disclosure so people know when they are engaging with AI and can challenge outcomes.
- 🛡️ Robustness, security & safety → systems must function robustly, securely, safely, with risks continually assessed and managed; two methods → traceability with subsequent analysis and inquiry, and applying a risk management approach.
- 👔 Accountability → those who develop, deploy or operate AI are accountable for its proper functioning, in line with OECD values and applicable regulation.
If asked how Robustness is achieved → the answer pairs traceability (enabling later analysis and inquiry) with a risk management approach. Two methods, not one.