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Project to set standard on Explainable AI approved

A project on the standard for explainable artificial intelligence, led by China's first digital bank, WeBank, was approved by the Institute of Electrical and Electronics Engineers recently.

As the standard marked the world's first industry standard that specifically solves the black box problem in AI applications, WeBank organized the first standard working group meeting last Friday.

Explainable AI, or XAI, is an emerging field in machine learning that aims to address how black box decisions of AI systems are made. Though related technology research has been made, there is a lack of systematic industry standards in terms of applications.

The meeting joined 21 leading institutions and companies in the field of technology, finance, retailing and smart city, which included China Asset Management Co Ltd, JD, Tencent Holdings Ltd and Huawei Technologies Co, as well as Squirrel AI and Sinovation Ventures.

During the meeting, experts and insiders discussed and made clear that the standard is to ensure that data processing, machine learning modeling and other processes in the application of AI are explainable for users, decision makers and regulators.

Yang Qiang, chief AI officer at WeBank,was elected as honorary president of the group, while Chen Yixing, chief data officer at China Asset Management, will be the vice-president.

"AI is still far from surpassing human beings. The biggest problem of AI at the present is unexplainable and incomprehensible. In the future, AI should move towards explainable AI and open this black box," said Zhang Bo, an academician of the Chinese Academy of Sciences, earlier in a conference.

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