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AI Algorithm Accountability Platform AlgoAccount Launches: All High-Risk AI Decisions Now Traceable by the Public

China's Cyberspace Administration launches AlgoAccount, requiring all high-risk AI systems to connect and disclose decision logs for traceability and public oversight.

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China's Cyberspace Administration (CAC) formally launched AlgoAccount on November 25, 2028 — an algorithm accountability platform for all high-risk AI systems. The platform requires AI systems deployed in finance, healthcare, justice, and recruitment to connect to AlgoAccount and make their decision logs and algorithm change records public.

AlgoAccount's core function is decision traceability. Every high-risk decision made by an AI system — such as loan approvals, insurance claims, medical triage, or judicial recommendations — is recorded on the platform, including input data summaries, decision outcomes, confidence levels, and key influencing factors. Affected individuals can query their AI decision records through the platform.

"Sunlight is the best disinfectant," said a CAC spokesperson. "AlgoAccount's goal is to ensure AI decisions are no longer a black box. When every decision can be traced and reviewed, companies will naturally be more careful in designing and deploying AI systems."

On launch day, 3,000 AI systems completed integration, covering bank loan approvals, insurance claims, medical triage, and judicial sentencing recommendations. Platform data shows that compliance costs for integrated enterprises increased by an average of 20%, but user trust improved by 35%.

Enterprise feedback is mixed. Ant Group stated that AlgoAccount's transparency requirements prompted the company to improve its algorithm design, reducing potentially discriminatory decisions. However, some small and medium enterprises have complained about high compliance costs, particularly the need for dedicated algorithm audit teams.

The public oversight feature is another highlight. Users can initiate an algorithm challenge for suspicious AI decisions, with the platform responding within 7 business days. In the first month, over 5,000 challenges were received, with 200 confirmed to involve algorithmic bias after review.