News & Events
Privacy-Enhancing Technologies
OECD Highlights the Role of Privacy-Enhancing Technologies in Sharing Trustworthy AI Models
The OECD has published a new report titled “Sharing Trustworthy AI Models with Privacy-Enhancing Technologies”, which explores how Privacy-Enhancing Technologies (PETs) can support the secure sharing and development of artificial intelligence systems.
The report outlines 10 use cases, grouped under two key archetypes:
- Enhancing AI model performance through minimal and confidential use of input and test data.
- Enabling confidential co-creation and sharing of AI models, while preserving data privacy.
To address these needs, the report highlights various PETs, including synthetic data, homomorphic encryption, differential privacy, trusted execution environments (TEEs), federated learning, and secure multiparty computation (SMPC).
The content of the report was shaped through a series of OECD expert workshops, with contributions from members of the ISO/IEC JTC 1/SC 44 committee (focused on consumer protection through privacy-by-design). Among the contributors was Antonio Kung (Trialog).
Future work directions, including synergies with standardisation efforts, were discussed during the OECD Expert Workshop on PETs and AI, held on June 16, 2025, in Ottawa.
Read the full article here: https://www.oecd.org/en/publications/sharing-trustworthy-ai-models-with-privacy-enhancing-technologies_a266160b-en.html
