PBOC Deputy Governor: AI Technology Brings New Risks Such as Algorithmic Black Boxes
A senior central bank official warns that opaque AI decision-making in credit and risk modeling poses challenges for accountability and compliance audits.
PBOC Deputy Governor Flags Algorithmic Black Boxes as Emerging Risk
The deputy governor of the People's Bank of China said in a public setting that the rapid adoption of artificial intelligence in the financial sector is bringing new types of risk, including algorithmic black boxes and insufficient model explainability, and that regulators need to keep close watch.
The remarks point to the problem of opaque decision chains when AI is used in credit approval, risk modeling and similar scenarios—when model outputs are difficult to trace and explain, both accountability and compliance audits face challenges.
The comments come as regulators worldwide broadly step up scrutiny of AI applications in finance. For an industry exploring AI agent payments and automated settlement, algorithmic transparency and explainability are becoming unavoidable issues in compliance frameworks.
Source: https://news.google.com/rss/articles/CBMiWkFVX3lxTFBlNUVXNVZIbkR3LUNBaHV1bWpSeFBXdGlJY0lpTWhkczRSMHZvaG9sOGl5RUJBcVVucnlVdGR3QmV1b2FGNk9jWlZOU2Zhc3pRUkMyVVZ0RFJtUQ?oc=5
Provenance & status
- Byline
- OceanAlt Editorial
- First published
- 2026-09-19
- Last updated
- 2026-09-19
- Content type
- Newsflash
- Source material
- View original ↗
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