Ant Group Makes Trusted AI Solutions More Accessible to Support Industrial Collaboration in Digital Economy

Ant Group right now introduced three initiatives to make trusted AI extra accessible. This contains making its graph processing database TuGraph open supply; launching an industrial-grade AI safety testing platform; and unveiling a privacy-preserving computation open platform. Announced on the World Artificial Intelligence Conference (“WAIC”) in Shanghai, these actions intention to make trusted AI options extra accessible to allow industrial multi-party collaborations in the digital economy.

A rising variety of industries have been adopting AI know-how at a quick tempo, which has considerably elevated demand for trusted multi-party collaboration options and AI techniques which are safe, dependable and sturdy.

“We believe that Privacy-Preserving Computation, Blockchain, Graph-Processing Technology, Distributed Database and Green Computing are the fundamental technologies for a large-scale industrial application of AI in the digital economy. These fundamental technologies are critical for overcoming challenges arising from the surging demand for security and trust in multi-party industrial collaboration, surging need for data storage and energy consumption, as well as the rising complexity in managing relationships among different parties,” stated Tao Wei, Vice President and Chief Technology Security Officer at Ant Group. “Ant Group has been continuously investing in the research and development of these technologies to facilitate more industrial collaborations in the digital economy.”

As a part of the actions, Ant Group has additionally made TuGraph open supply for international builders on Github. TuGraph is without doubt one of the key elements in the Company’s large-scale graph-processing system and was collectively developed by Ant Group and Tsinghua University. The graph-processing know-how has a variety of purposes, reminiscent of threat management, anti-fraud and information graph.

TuGraph was awarded the World Leading Internet Scientific and Technology Achievements in 2021, and broke the throughput report in the audited outcomes of the LDBC Social Network Benchmark (Interactive Workload) in August 2022.

Ant Group, China Academy of Information and Communications Technology (“CAICT”) and Tsinghua University additionally launched an industrial-grade AI safety testing platform to present builders a one-stop analysis answer from adversarial checks to protection and reinforcements. This platform additionally helps builders acknowledge and predict mannequin dangers via a single click on, constructing safer and extra sturdy AI fashions and detect systemic dangers in advance. The platform is embedded with independently developed adversarial-AI safety computing engines, which may enhance the computing efficiency by dozens of occasions. Meanwhile, the platform now affords robustness analysis for international builders with extra features deliberate in the pipeline.

In July 2022, Ant Group made its privacy-preserving computation framework open supply. The privateness computing platform launched this time contains a one-stop answer for industrial customers to create privateness computation purposes in numerous use instances, reminiscent of medical service, insurance claims, joint advertising and threat management. It additionally comes with the extra possibility to construct purposes with out writing a single line of code.

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