On July 3, the General Administration of Market Regulation held a special lecture on AI empowering credit supervision, focusing on the key aspects of “building, returning, and using” to continue to deepen credit supervision reform and attract wisdom to enable high-quality development of market supervision business. Bai Qingyuan, Deputy Director of the General Administration of Market Regulation, attended the lecture and made comments. Relevant officials at iFLYTEK focused on developments in artificial intelligence, domestically produced autonomous and controllable large model technology, mature application cases of AI in government affairs and market supervision, and specific paths and scenarios for AI to enable credit supervision. Bai Qingyuan pointed out that at present, new business formats are constantly emerging, and that digital, cross-regional, and multi-agent operations of enterprises have become the norm, and existing regulatory measures are clearly lagging behind. Market supervision system cadres should effectively strengthen their learning, actively apply artificial intelligence concepts and technology to all fields of market supervision, continuously improve the effectiveness of supervision, better carry out their duties and missions, and accelerate the construction of a unified national market.

On July 3, the General Administration of Market Regulation held a special lecture on AI empowering credit supervision, focusing on the key aspects of “building, returning, and using” to continue to deepen credit supervision reform and attract wisdom to enable high-quality development of market supervision business. Bai Qingyuan, Deputy Director of the General Administration of Market Regulation, attended the lecture and made comments. Relevant officials at iFLYTEK focused on developments in artificial intelligence, domestically produced autonomous and controllable large model technology, mature application cases of AI in government affairs and market supervision, and specific paths and scenarios for AI to enable credit supervision. Bai Qingyuan pointed out that at present, new business formats are constantly emerging, and that digital, cross-regional, and multi-agent operations of enterprises have become the norm, and existing regulatory measures are clearly lagging behind. Market supervision system cadres should effectively strengthen their learning, actively apply artificial intelligence concepts and technology to all fields of market supervision, continuously improve the effectiveness of supervision, better carry out their duties and missions, and accelerate the construction of a unified national market.