Market
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.
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.
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.
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.
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.
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.
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.
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.
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
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
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
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:
- Chat or assistant
- Agents that use tools or take actions
- Decisions about people (hiring, credit, insurance, health)
- Generated text, images, audio or video
- Classification, scoring or biometrics
Laws
Coming into force
- : AI systems that interact directly with people must let users recognise they are dealing with AI (Vietnam AI Law) (VN)
- : AI-generated audio, images and video must carry a machine-readable mark (Vietnam AI Law and Decree 142) (VN)
- : High-risk AI systems need risk management and working human supervision and intervention (Vietnam AI Law, Decree 142, Decision 33) (VN)
- : High-risk AI systems must keep a technical dossier and operating logs (Vietnam AI Law and Decree 142) (VN)
- : Deployers must label AI content that imitates real people or events, and flag AI content that could mislead (Vietnam AI Law and Decree 142) (VN)
- : Serious AI incidents must be recorded, contained and reported within 72 hours or 5 working days (Vietnam AI Law and Decree 142) (VN)
- : AI systems that interact directly with people must let users recognise they are dealing with AI (Vietnam AI Law) (VN)
- : AI-generated audio, images and video must carry a machine-readable mark (Vietnam AI Law and Decree 142) (VN)
- : High-risk AI systems need risk management and working human supervision and intervention (Vietnam AI Law, Decree 142, Decision 33) (VN)
- : High-risk AI systems must keep a technical dossier and operating logs (Vietnam AI Law and Decree 142) (VN)
- : Deployers must label AI content that imitates real people or events, and flag AI content that could mislead (Vietnam AI Law and Decree 142) (VN)
- : Serious AI incidents must be recorded, contained and reported within 72 hours or 5 working days (Vietnam AI Law and Decree 142) (VN)
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.