Trusted Privacy Computing Summit at the 2022 World AI Conference Highlights Security Challenges and Future Directions

On September 3, 2022, the final day of the World AI Conference featured the Trusted Privacy Computing Summit, gathering more than 20 leading experts from academia, industry and research to discuss security and development of next‑generation AI technologies.

The forum released the industry’s first “Trusted Confidential Computing Whitepaper” and introduced the YinYu Open Platform, offering practical measures to accelerate technology adoption and lower entry barriers.

Key speakers included Chinese Academy of Sciences academician Wang Xiaoyun, who highlighted cryptographic techniques such as privacy‑preserving signatures, secure multi‑party computation and homomorphic encryption; Michael Jordan, who advocated for data‑value economics and differential privacy; and Dawn Song, who emphasized building a responsible digital economy.

Representatives from the China Academy of Information and Communications Technology, Ant Group, and the Privacy Computing Alliance underscored the importance of trustworthy data flow, presenting the “Trusted Privacy Computing” framework with attributes of security, privacy, controllable processes, efficiency, and openness.

Industry leaders from finance, healthcare, and cross‑border data services discussed how privacy computing enables data to be “usable but invisible,” supporting compliance, innovation, and societal welfare.

The summit also announced the CCF‑Ant Privacy Computing Research Fund, supporting 20 projects from 16 universities with grants of 250,000–400,000 RMB, fostering academia‑industry collaboration.