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AI law in IT

8 binding provisions TwinEthos encodes that reach IT: 8 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

46 guards address 61 items across 1 jurisdiction with binding law: 8 binding law in force, 0 enacted but not yet applying, 29 standards and frameworks, 24 TwinEthos recommended guardrails.

  1. Health AI without clinician oversight/accountability + redress

    Hold AI-generated clinical output as a draft until an accountable clinician reviews and signs it, and record who approved it before it reaches the chart or the patient.

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

    Law in force in IT.

  2. AI decision system without regular accuracy/bias validation

    Compute per-group accuracy and bias metrics in the training pipeline of every consequential-decision model, keep the results per version, and rerun them on a schedule.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  3. People whose data an AI feature processes are not told about that processing in plain language, or not told how to object

    Describe the AI processing in the notice at collection in plain language, and wire an objection route that stops it for the person.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  4. Consequential AI decision without consumer notice

    Send the person an AI-use notice on the decision path, before or when an AI system makes or substantially factors a consequential decision about them, and record its delivery.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  5. GenAI in regulated occupation without proactive disclosure

    Open each GenAI conversation on a licensed-professional service path with a prominent statement that the person is interacting with generative AI.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  6. GenAI training data without lawful source / IP / consent controls

    Gate every dataset entering pre-training or fine-tuning on a recorded lawful source and licence, and consent-filter or scrub personal information first.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  7. A child below the national age threshold uses an AI feature without the consent of a parent or guardian

    Gate every AI feature on an age check and, for a user below the legal threshold, on a verified parental or guardian consent record.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  8. Employer uses AI in employment decisions without notifying the employee

    Notify applicants and employees, in the application flow, HR portal, or handbook they actually receive, that AI is used in each employment decision before it is applied to them.

    Addresses 1 item: 1 binding law in force

    Law in force in IT.

  9. 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

  10. 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 3 items: 2 standards · 1 recommended guardrail

The top 10 of 46; the build plan ranks all of them and lets you narrow by AI feature.

By AI feature

Plans for one feature in IT:

Laws

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.