Shanghai Lawmaker Urges Schools, Platforms and Courts to Close Gaps in AI Education, Data Governance and Credit Repair

At Shanghai's municipal meetings, CPPCC member Tong Lin called for reforms to AI education, platform data governance and credit restoration for bankrupt companies. He proposed a staged AI curriculum with an approved textbook list and education accounts for minors, an industry association to standardise data dispute resolution, and automated court data links to speed credit repair for entrepreneurs.

Scrabble-like tiles arranged to spell 'Qwen AI' on a wooden surface, depicting technology concepts.

Key Takeaways

  • 1Tong Lin identified gaps in AI education: fragmented curricula, lack of ethics and few open teaching resources; he called for a municipal AI textbook white list and education‑only accounts with major AI firms.
  • 2He warned that platform‑run data dispute mechanisms lack unified standards and impartiality; he proposed an industry association to set ethics codes, compliance guidance and a standard dispute‑resolution process.
  • 3Tong urged technical integration between court management and enforcement systems so bankruptcy filings automatically trigger credit‑restoration reviews and enable a one‑stop service to lift onerous restrictions on entrepreneurs.

Editor's
Desk

Strategic Analysis

Tong’s proposals reflect a pragmatic, municipal‑level response to three common tensions of the digital economy: how to teach citizens to use powerful technologies responsibly, how to govern platforms that both set and apply marketplace rules, and how to unstick legal and credit processes that chill entrepreneurship. If Shanghai implements these fixes, the city could create a replicable model for balancing consumer protection, data market development and entrepreneur rehabilitation. Yet success depends on cross‑sector cooperation: education authorities must negotiate technical and commercial terms with AI companies; regulators must draft enforceable standards rather than solicit voluntary compliance; and courts must invest in interoperable IT systems. There is also a risk that industry‑led associations become vehicles for the platforms they are meant to discipline unless civil society and independent experts retain a clear role.

China Daily Brief Editorial
Strategic Insight
China Daily Brief

At Shanghai’s municipal "Two Sessions," CPPCC member Tong Lin pressed for a package of practical fixes to three frictions emerging from the city’s rapid digitalisation: inadequate AI education for minors, opaque data markets dominated by platforms, and lingering credit restrictions on entrepreneurs after corporate bankruptcy.

Tong, a vice‑chair of a Shanghai civic federation and deputy director at a local law firm, said his field research found that AI teaching in primary and secondary schools lacked a coherent top‑level design. Current instruction is often tacked onto information‑technology classes, fragmented across grades and overly focused on programming and algorithms rather than on ethics, societal impact and critical thinking.

To remedy that, Tong proposed that the municipal education commission draw up a white list of approved AI textbooks and build a staged curriculum centred on "AI literacy." He also recommended negotiated "education accounts" with major AI companies so schools and students can access age‑appropriate tools under controlled, noncommercial terms — a step intended to protect minors now compelled to register services with adults’ mobile numbers.

On data governance, Tong highlighted a structural problem: e‑commerce and platform ecosystems have become both rule‑maker and competitor, designing bespoke dispute procedures that leave consumers with inconsistent rights and little recourse. He observed that most online consumer disputes are resolved through platform‑run review processes whose standards vary wildly and whose neutrality is open to question.

His remedy was institutional: propose the creation, under regulator guidance, of a data‑elements industry association that brings together leading platforms, consumer groups, legal and technical experts to set an ethics code, compliance guidance and a unified dispute resolution standard. Tong argued this would help standardise data trading rules, improve algorithmic transparency and reduce conflicts of interest where platforms act as both market operator and judge.

Tong’s third pitch addressed the post‑bankruptcy credit limbo that deters entrepreneurship. He described a practical breakdown in information flows between enforcement divisions and bankruptcy courts: when a company enters bankruptcy, the fact is not always propagated automatically to systems that enforce personal consumption restrictions on its legal representatives. The result is that entrepreneurs remain subject to credit constraints long after a firm’s insolvency proceedings begin.

He urged building automatic data links between court management and enforcement systems, plus standard operating procedures to trigger credit‑relief reviews and a one‑stop credit‑repair service for business owners. Faster, automated processes could remove a costly stigma that keeps experienced founders away from new ventures and dampens business dynamism.

Taken together, Tong’s proposals are modest and technically focused, aimed at lowering frictions rather than rewriting policy at the national level. They resonate with broader Chinese priorities — cultivating digital skills, taming platform power, and stabilising the business environment — but will test the appetite of both technology companies and municipal agencies for cooperative governance. Implementation will require cooperation across departments, legal clarification of roles, and safeguards to prevent industry bodies from simply enshrining the practices of dominant platforms.

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