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.
A person may not develop or deploy an AI system in a manner that intentionally aims to incite or encourage a person to commit physical self-harm, including suicide, to harm another person, or to engage in criminal activity. The prohibition turns on the developer's or deployer's intent rather than on the system's effects, which is the pattern followed throughout the Act's prohibited-use provisions.
Verified (a factual check against the official source, not a legal review)Applies from 1 Jan 2026
A person may not develop or distribute an AI system with the sole intent of producing, assisting or aiding in producing, or distributing child pornography or unlawful deep-fake videos or images, including sexually explicit deepfakes of a person without consent, or of engaging in sexually explicit text-based conversations while impersonating or imitating a child, in violation of the Texas Penal Code.
Verified (a factual check against the official source, not a legal review)Applies from 1 Jan 2026
Legal requirementTransparency and disclosure·South Korea
An AI business operator that provides generative AI or a product or service using it must indicate that the output was generated by generative AI. Where the operator provides content such as virtual sound, images or video that is hard to distinguish from reality, it must clearly notify users that the content is AI-generated, in a manner that does not impair a work's artistic or creative expression where that applies. Detailed methods are left to Presidential Decree and ministry guidance.
Verified (a factual check against the official source, not a legal review)Applies from 22 Jan 2026
Legal requirementTransparency and disclosure·European Union
A deployer that generates or manipulates image, audio or video content that is a deep fake must disclose that the content has been artificially generated or manipulated, with lighter treatment for evidently artistic, creative, satirical or fictional works so that the disclosure does not spoil the work. A deployer that publishes AI-generated text to inform the public on matters of public interest must disclose this unless the text passed human review or editorial control and someone holds editorial responsibility. The disclosure must reach people clearly at the latest at first exposure.
Verified (a factual check against the official source, not a legal review)Applies from 2 Aug 2026
Legal requirementTransparency and disclosure·European Union
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.
Pending review (a factual check against the official source, not a legal review)Applies from 2 Aug 2026
Legal requirementTransparency and disclosure·European Union
Providers of AI systems, including general-purpose AI systems, that generate synthetic audio, image, video or text must ensure the output is marked in a machine-readable format and detectable as artificially generated or manipulated. The technical solution must be effective, interoperable, robust and reliable as far as the state of the art allows, taking account of content type and cost. Systems that only perform assistive editing or do not substantially alter the input, and law-authorised criminal-detection uses, are outside the duty.
Verified (a factual check against the official source, not a legal review)Applies from 2 Aug 2026
Voluntary guidanceTransparency and disclosure·Singapore
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 (a factual check against the official source, not a legal review)
A single practical requirement pulled out of an instrument and stated on its own: keep a risk management system, log incidents, document training data, provide human oversight, and so on. Each one cites the article or section it comes from so you can check it against the source.
Does a voluntary obligation have legal force?
No, and every obligation is labelled either a legal requirement or voluntary guidance. Voluntary items still matter in practice, because procurement questionnaires and auditors ask about them, but only the binding ones carry legal consequence.
How do I find the obligations that apply to my organisation?
Filter by jurisdiction, category, actor, sector or use case. The applicability check asks a short set of questions and returns the duties that may reach you. It is an educational screen, not a legal determination, and it says so.
Why do some instruments have no obligations listed?
Because nobody has broken them out yet. Most instruments are recorded at summary level first; obligations are added jurisdiction by jurisdiction. The coverage and open-gaps pages publish exactly what is missing rather than hiding it.
