Trustworthy AI rests on seven pillars: transparency, accountability, fairness, privacy, robustness, safety, and human oversight. Organizations must implement all seven systematically to build AI systems that earn stakeholder trust.
- European Commission High-Level Expert Group on AI. (2019). Ethics Guidelines for Trustworthy AI.
- National Institute of Standards and Technology. (2023). AI Risk Management Framework (AI RMF 1.0).
- Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy.