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AI law in VN

6 binding provisions TwinEthos encodes that reach VN: 6 in force, 0 enacted but not yet applying. Start from the guards to add.

Informational data, not legal advice. Summaries and rules have not been reviewed by a lawyer: always verify official law text for decisions. A suggested guard is intended to address each rule; adding it is not a statement of compliance to that law.

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The guards that cover the most here

43 guards address 59 items across 1 jurisdiction with binding law: 6 binding law in force, 0 enacted but not yet applying, 29 standards and frameworks, 24 TwinEthos recommended guardrails.

  1. AI chat interaction without disclosure

    Show an AI-identity notice at or before the first assistant turn, in the UI or as the opening message, and answer truthfully when asked if it is a bot.

    Addresses 4 items: 1 binding law in force · 2 standards · 1 recommended guardrail

    Law in force in VN.

  2. Synthetic content not machine-readable-marked

    Mark every generated image, audio, video, or text output with machine-readable provenance, such as a signed C2PA manifest or watermark, before it is saved, served, or published.

    Addresses 2 items: 1 binding law in force · 1 standard

    Law in force in VN.

  3. AI serious incident not recorded, contained and reported to the authority

    Keep an AI serious-incident runbook that classifies incidents by the statutory definition, runs the reporting clocks and preserves the logs.

    Addresses 1 item: 1 binding law in force

    Law in force in VN.

  4. Deepfake content not disclosed

    Attach a visible 'AI-generated or manipulated' disclosure to face-swapped, voice-cloned, or likeness-generated media on every path that publishes or returns it.

    Addresses 1 item: 1 binding law in force

    Law in force in VN.

  5. High-impact AI without risk management, explanations, and human oversight

    Put human supervision and a per-decision explanation record between high-impact model output and the action it triggers, backed by a documented risk-management plan.

    Addresses 1 item: 1 binding law in force

    Law in force in VN.

  6. High-risk AI system without automatic event logging (traceability)

    Write a structured event record for every inference and decision of the high-risk system (when, model version, input reference, output, operator) to a log store with explicit retention.

    Addresses 1 item: 1 binding law in force

    Law in force in VN.

  7. Adverse AI decision without explanation/appeal

    Send each adverse AI-assisted decision with its main reasons and the AI's role, plus a way to correct data and appeal to a human who can change the outcome.

    Addresses 3 items: 2 standards · 1 recommended guardrail

  8. Untrusted content influences instructions or tools

    Keep fetched, retrieved, and tool-returned content out of the system prompt, pass it as delimited data, and restrict which tools a turn holding that content can call.

    Addresses 3 items: 2 standards · 1 recommended guardrail

  9. Agent actions not traceable to identity and owner

    Give each agent its own credential and a registry entry naming an accountable owner, and log every tool action with agent_id, owner, action, target, and timestamp.

    Addresses 2 items: 1 standard · 1 recommended guardrail

  10. Agent high-impact action without human approval

    Classify agent tools by impact and route every high-impact or irreversible call through an enforced human-approval step in the executor, with the decision logged.

    Addresses 2 items: 1 standard · 1 recommended guardrail

The top 10 of 43; the build plan ranks all of them and lets you narrow by AI feature.

By AI feature

Plans for one feature in VN:

Laws

Coming into force

Informational data, not legal advice. Summaries are TwinEthos's own words and rules have not been reviewed by a lawyer: check the official text before relying on any of it. A guard addresses an item; adding it is not a statement that your code meets any law.