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Australia Online Safety (DIS - Class 1A and 1B Material) Industry Standard 2024

eSafety Commissioner · pack 0.2.0 · verified against the official source as of 2026-10-02. Open it in the explorer.

Binding law — in force

High impact generative AI must prevent CSEM and pro-terror outputs, test and adjust models, warn and refer users (Australia, DIS Standard 2024 s 22(3))

Under Australia's Online Safety (Designated Internet Services - Class 1A and Class 1B Material) Industry Standard 2024 s 22, a provider of a high impact generative AI designated internet service (a service using machine learning models to let end-users produce material, capable of generating synthetic high impact material) must implement systems, processes and technologies that prevent generative AI features from producing child sexual exploitation material or pro-terror material; regularly review and test models for that risk and promptly adjust them and deploy mitigations; present prominent messaging on the risk and criminality to users in Australia seeking child sexual abuse material; accompany material generated from terms associated with it with reporting and support links; and detect child sexual abuse material automatically in training data, user prompts and outputs. Detect an image-generation call with no input or output safety check, or a disabled safety checker.

au-dis-standard.genai-csem-terror-safeguards · DIS Standard s 22(1)-(3) (deter and disrupt CSEM and pro-terror material; further minimum requirements for high impact generative AI DIS) · official source · jurisdictions: AU

The guard to add, and how far to trust this rule

Binding law — in force

High impact generative AI services must implement ways to differentiate AI outputs (Australia, DIS Industry Standard 2024 s 22(3)(d))

Under Australia's Online Safety (Designated Internet Services - Class 1A and Class 1B Material) Industry Standard 2024 s 22(3)(d), a provider of a high impact generative AI designated internet service must implement systems, processes and technologies that differentiate AI outputs generated by the model; the standard's note gives embedding indicators of provenance into generated material as an example. Detect generated images saved or returned with no provenance marking (C2PA, watermark, SynthID).

au-dis-standard.genai-output-differentiation · DIS Standard s 22(1)-(3) (deter and disrupt CSEM and pro-terror material; further minimum requirements for high impact generative AI DIS) · official source · jurisdictions: AU

The guard to add, and how far to trust this rule