Transparency and disclosure: AI obligations

Practical requirements extracted from policy instruments, with the source article, the actors they bind, evidence examples and original framework mappings. Legal requirements are marked; everything else is voluntary guidance.

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7 results

Legal requirement transparency European Union

Disclose AI interaction and label synthetic content

EU AI Act · Article 50

Providers must ensure AI systems intended to interact with people inform them they are dealing with AI unless obvious; providers of systems generating synthetic audio, image, video or text must mark output in a machine-readable, detectable format; deployers of emotion-recognition or biometric-categorisation systems must inform exposed persons; deployers must disclose deepfakes and AI-generated text published to inform the public on matters of public interest, subject to exceptions.

Source-linked Applies from 2 Aug 2026

Legal requirement transparency Colorado (United States)

Notify consumers and explain adverse consequential decisions

Colorado AI Act · C.R.S. 6-1-1703(4)

Before a high-risk system makes a consequential decision, deployers must notify the consumer that AI is used, describe its purpose and nature, and provide contact and opt-out information where applicable. After an adverse decision they must state the principal reasons, the data used and its sources, and offer an opportunity to correct data and to appeal for human review where feasible.

Source-linked Applies from 30 Jun 2026

Legal requirement transparency Singapore

Notify individuals about the use of personal data in AI recommendations and decisions

PDPC AI advisory guidelines · Advisory guidelines, section on notification obligation

Organisations should inform individuals that AI systems use their personal data, the purposes, the relevant features and how they influence decisions, proportionate to the impact on the individual.

Source-linked

Legal requirement transparency European Union

Provide deployers with clear instructions for use

EU AI Act · Article 13

High-risk AI systems must be designed so their operation is sufficiently transparent for deployers to interpret output and use it appropriately, and must be accompanied by instructions for use covering the provider's identity, the system's characteristics, capabilities and limitations, performance for the intended purpose and known foreseeable misuse, human-oversight measures, expected lifetime and maintenance.

Source-linked Applies from 2 Aug 2026

Legal requirement transparency United States

Publish an annual AI use-case inventory

OMB M-25-21 · Section 3

Agencies must inventory their AI use cases annually and publish the inventory, identifying high-impact uses, with limited exclusions.

Source-linked

Voluntary guidance transparency United Kingdom

Provide appropriate transparency and explainability

UK AI regulation framework · Principle 2, Part 3

Organisations should communicate when and how AI is used and provide explanations proportionate to the risk, so that people can understand decisions affecting them. For personal data, UK GDPR transparency and automated decision-making rights make this binding in practice.

Source-linked

Voluntary guidance transparency Singapore

Report incidents and mark AI-generated content (generative AI framework)

Singapore Model AI Governance Framework · Generative AI framework, dimensions on incident reporting and content provenance

The generative-AI framework recommends incident-reporting channels and processes for AI harms, and content provenance measures such as digital watermarking and cryptographic provenance so that users can identify AI-generated content.

Source-linked