How AI Model Risk Governance Maturity Is Shaping China’s FinTech Landscape

Background

To standardize AI technology activities, China has issued a series of laws and regulations to ensure model decisions are safe, reliable, fair, and just, and to require enterprises to implement specific risk‑management and internal‑control measures for AI models. AI model risk governance is becoming a future trend, and companies need effective governance to respond quickly and flexibly to model risks.

2021 GOLF+ IT New Governance Leadership Forum

The forum, hosted by the China Academy of Information and Communications Technology (CAICT) on December 24, highlighted “New governance integrates innovation, digital stability for the long term” and discussed “governance effectiveness and building a new technology‑governance ecosystem”. During the event, CAICT’s Cloud Computing and Big Data Institute released the first batch of AI model risk‑governance maturity assessment results.

Interview with Xu Dongliang, Vice President of Du Xiaoman Financial

Q: Please introduce your company and the project that passed the assessment.

A: Du Xiaoman Financial is a fintech company that leverages AI, big data, and cloud computing to provide trustworthy financial services. Our “Panshi Intelligent Risk‑Control Model (Xiaoman‑Score)” is built on these technologies and offers multi‑layered risk‑control services to banks and licensed financial institutions since 2018.

Q: How do you view the AI model risk‑governance maturity assessment?

A: The assessment follows the “AI Model Risk‑Governance Capability Maturity Model” jointly drafted by CAICT and more than 20 industry leaders. It covers strategy, organization, lifecycle management, algorithm safety, business continuity, patent protection, compliance, and audit, providing authoritative guidance for improving AI risk governance in China.

Q: What motivated you to participate in the assessment?

A: We wanted an authoritative, systematic review of our AI model risk‑governance practices, to identify strengths and gaps, and to continuously optimize our governance framework for higher‑quality, trustworthy fintech services.

Q: How does your model address risk governance?

A: At the organizational level we have strong algorithm teams, product R&D, business, operations, and security/legal/audit functions. For model lifecycle management we have standards covering requirement analysis, data preparation, building, validation, review, deployment, monitoring, decommissioning, and archiving. Emergency response includes company‑wide and model‑level security incident procedures and business‑continuity plans. Intellectual‑property protection is ensured through patents, software copyrights, and trademarks.

Q: What benefits did the assessment bring?

A: The assessment helped us systematically organize our risk‑governance framework, clarify strengths and weaknesses, and provide precise guidance for future improvements, boosting confidence, brand competitiveness, and industry influence.

Q: What are your future plans?

A: We plan to extend the maturity‑model standards to more of Du Xiaoman’s algorithmic products, continuously raise our AI risk‑governance level, and promote healthy AI model governance across the industry together with our financial partners.

AI Model Risk‑Governance Capability Maturity Model

The model was led by CAICT in cooperation with the China Internet Association IT Risk Governance Committee and more than 20 enterprises such as JD, Baidu, China Unicom, Ant Group, ByteDance, Tencent Cloud, and others. It addresses major risk challenges in AI model development, implementation, and use, aligning with laws such as the Data Security Law, Personal Information Protection Law, and recent algorithm‑governance guidelines. The assessment evaluates modules covering strategy, organization, resources, technical measures, and more.

Assessment Highlights

Highly aligned with regulatory trends, providing practical guidance for enterprises.

Establishes industry trust and mutual‑recognition mechanisms for AI model risk governance.

Offers differentiated management methods to reduce enterprise governance costs.

Contact for Assessment Inquiries

Liang Ye – 17801066261 – [email protected]

Wang Yang – 13269376063 – [email protected]

Chen Yang – 13811870811 – [email protected]