Highlights from the 2022 World AI Conference: Graph Computing, Privacy Computing, AI Safety, and New Open Platforms

In September, the World Artificial Intelligence Conference (WAIC) in Shanghai, after four years of development, has become a global "technology barometer, application showcase, industry accelerator, and governance forum" for AI.

The conference featured cutting‑edge forums where Ant Group co‑hosted discussions on graph computing and privacy computing, emphasizing these as key frontier technologies for the digital economy.

Three core technology products were announced, aiming to foster an open industry ecosystem and promote high‑quality AI safety development.

The "New Generation Graph Intelligence Technology Development and Practice Forum" gathered top researchers, including Chinese Academy of Engineering academician Chen Chun, who expressed confidence in leading the international front of graph intelligence, and Huazhong University of Science and Technology professor Jin Hai, who highlighted the urgent need for efficient graph computing to handle massive relational data.

Chinese Academy of Engineering academician Zheng Weimin and other experts underscored the burgeoning potential of graph computing, while the "Trusted Privacy Computing Summit" featured leading scholars such as Chinese Academy of Sciences academician Wang Xiaoyun, ACM Fellow Michael Jordan, and UC Berkeley professor Dawn Song, discussing challenges and future directions of trusted privacy computing.

The summit also released the industry's first "Trusted Confidential Computing Whitepaper" and introduced the "YinYu Open Platform"—a globally accessible, code‑free solution for privacy‑computing scenarios, already validated in medical, insurance, and risk‑control use cases.

On September 1, Ant Group, together with the China Academy of Information and Communications Technology and Tsinghua University, launched the AI safety detection product "AntJian", offering free robustness testing for developers to identify model vulnerabilities and ensure safer AI deployment.

Later, Ant Group announced the open‑source high‑performance graph database TuGraph (single‑node version) and the establishment of the Graph Computing Open‑Source Technical Committee, chaired by academicians Zheng Weimin and Chen Chun, positioning TuGraph as the world’s fastest graph database with a record‑holding benchmark.

Overall, Ant Group continues to deepen its "core technologies"—privacy computing, blockchain, graph computing, distributed databases, and green computing—to address AI safety, scalability, and energy efficiency challenges, driving high‑quality AI development for the digital economy.