Malaysia has no binding AI-specific rule. What binds is general law, written for other things. Everything written for AI is voluntary or still in draft. This site maps the instruments by force and tracks the proceedings that turn on AI.
Eighteen instruments, stacked by force. Everything above the binding line is general law never written for AI; everything written for AI sits below it. Malaysia is not an OECD or G20 member, so those AI principles appear here as reference points, not commitments. Each entry links to its source.
The map ranks instruments by force. This view adds a second question: does an instrument set out principles or prescriptions? One corner stays empty. Tap any marker.
Tap a marker
The binding column is all general law, written for data, content and copyright rather than for AI. Everything AI-specific sits on the nonbinding side. Dashed markers are drafts; the AI Governance Bill is the first pointed at binding.
A running record of Malaysian proceedings where AI is part of the facts: deepfake fraud, face-swap imagery, voice-clone scams, and the regulator's move against X/xAI over Grok. None has reached judgment yet.
Tap a case for the facts, the legal basis, and where it stands. These are reported proceedings from public sources, not judgments.
The charges rest on the Communications and Multimedia Act (s.233), the Penal Code, the Sexual Offences Against Children Act and the Online Safety Act. A National AI Governance Bill is in draft but not yet law.
Compiled June 2026 from regulator statements and credible reporting, with status noted per case. A record of reported proceedings, not legal advice.
Malaysian doctrine asks for human time, labour and skill, and MyIPO treats AI output as an infringement risk rather than a new protected class. Its one concrete institutional move is a filing declaration: the copyright form makes applicants attest the work used no AI.
The AI-IP Index reads a country on two questions that usually get folded together. Accommodation asks how far the law will go to protect intellectual property that a machine helped produce. Institution asks how much administrative machinery sits behind that law: its guidance, its international submissions, its disclosure duties.
A country can be generous on paper and have built almost nothing, or cautious and highly organised, so the two are scored apart and reported as a pair. Each rests on three questions, scored 0, 0.5 or 1.
How far the law will protect intellectual property that a machine helped make.
How much administrative machinery sits behind that law.
The scale runs the same way on both axes: 0 is the open or developed end, 1 is the restrictive or absent one, and 0.5 sits between for anything conditional or untested. Read as a pair, the two scores show whether AI-assisted work can be protected here, and whether the office has said so in writing.
Within each axis the three questions carry equal weight. That is a deliberate choice, not an oversight. An AI developer might reasonably value freedom to train above patent inventorship, but weighting is where indices lose their credibility, so the score stays a flat mean and the choice is stated in the open. Each cell also cites a statute section, a case or an office page, so any single score can be challenged without disputing the rest.
Two positions are worth naming. A country can be open on the law but thin on machinery, an open-but-undeveloped stance that bets on ambiguity. Or it can be restrictive on rights yet run an active office, a restrictive-but-developed stance that reflects a settled policy choice rather than a gap. The pair of scores tells those two apart where a single ranking would blur them.
A rubric is only as good as the results it produces on cases where the answer is already known. These three jurisdictions sit outside this series and are scored with the same six questions, as a check. Their law is the best documented anywhere, so if the scale puts them where the law actually sits, the scale is doing its job. They are reference points, not editions.
Firm judicial settlement at both poles and the weakest statutory position on training. The courts have closed the door on AI inventors and AI authors, while everything on training rides on unresolved fair-use litigation. There is no per se duty to declare AI use in a filing, only a candour duty that bites where the use is material.
Thaler v. Vidal, 43 F.4th 1207 (Fed. Cir. 2022); Thaler v. Perlmutter (D.C. Cir. 2025), cert. denied 2 Mar 2026; Bartz v. Anthropic (N.D. Cal. 2025); USPTO revised inventorship guidance, 90 Fed. Reg. 54636 (28 Nov 2025); 89 Fed. Reg. 58128 (17 Jul 2024); 89 Fed. Reg. 25609 (11 Apr 2024).
The most permissive statutory position on training and the strongest transparency duty in force, sitting over an authorship question no court has answered. Read the label carefully: training and transparency run through EU law, but patents run through the EPO under the European Patent Convention, which is not an EU institution and covers 39 states.
Directive (EU) 2019/790, arts. 3 and 4; Regulation (EU) 2024/1689, art. 53(1)(c) and (d); EPO J 8/20 (2021); EPO Guidelines G-II 3.3.1 (2026 edition); Infopaq C-5/08; Painer C-145/10.
Liberal on patents since the Supreme Court abandoned the Aerotel test in February 2026, conservative on copyright, and currently thin on AI-specific machinery after the dedicated AI examination guidance was withdrawn. Section 9(3) nominally protects a work with no human author for 50 years, the widest AI-output right on paper, but no court has ever applied it to generative AI.
CDPA 1988 ss. 9(3), 12(7), 29A, 178; Thaler v Comptroller-General [2023] UKSC 49; Comptroller-General v Emotional Perception AI [2026] UKSC 3; UKIPO practice notice, 14 Jul 2026; Data (Use and Access) Act 2025 ss. 135 to 137.
The check earned its keep twice. The untested rule held: section 9(3) of the UK Copyright Act reads like the widest AI-output right anywhere, yet because no court has applied it to generative AI it scores as untested rather than open, which is the correct answer and the one a headline reading would miss. The check also exposed a limit worth stating. The Institution axis measures AI-specific machinery, not general office capacity, so a long-established office can score poorly when it has withdrawn its AI guidance and imposes no disclosure duty. Read that axis as what an office has built for AI, nothing wider.
Each row below carries the test we applied and the finding behind the score, with a source. The rationale, not the number, is the point.
Scores verified 16 July 2026, against AIP Index codebook v1.0. A score is only true as of its date.
What we look forA granted patent or a clearly workable examination route, not merely a silent statute.
The findingAI inventions with a human inventor are examined under the general computer-program practice, patentable where the claim carries technical character. Workable but untested in a decision.
What we look forProtection applied where human choices shape the work, and refusal of purely machine output.
The findingSection 7(3)'s human sufficient-effort test leaves AI-assisted output to a case-by-case showing, with no AI-specific rule and no case law.
What we look forA statutory or judicial mining lane. Silence scores against the miner, since the reserved-rights default governs.
The findingThere is no mining exception, and the copyright reform points to remuneration for rights holders. Silent copyright means the reserved default governs training.
What we look forA traceable, substantive submission on the record, not bare membership.
The findingMyIPO participates in WIPO and ran a national IP-and-AI dialogue, but filed no traceable submission to the Conversation.
What we look forA standalone AI examination text, not AI handled quietly under general practice.
The findingMyIPO has published no dedicated AI examination guidance. AI inventions are handled under the general computer-program provisions, and its recent AI work is operational rather than doctrinal.
What we look forA mandatory declaration inside the filing, not a proposal or an informal request.
The findingMyIPO's copyright notification form carries a mandatory declaration, in its Section G, that the work was created without the assistance of AI. A binding AI-use attestation inside the filing.
Method. Six questions, three per axis, scored 0, 0.5 or 1 against AIP Index codebook v1.0. The three questions in each axis are weighted equally by choice, and the two axes are reported as a pair, never blended into one number. Every score cites a statute, case or office page, carries a verified date, and records its direction of travel apart from the level. Positions are editorial judgements read from primary law and office practice, not official scores. WIPO's public catalogue of IP-office AI initiatives does not score jurisdictions on this basis, so the readings here come straight from the source law. Not legal advice.
Malaysia's approach to AI is built almost entirely on soft law. Guidelines and roadmaps set the direction, but none of them binds an operator. What does bind comes from general law written for other purposes. Reading those two layers against each other is the whole exercise.
The site does two things: it maps that structure as an enforceability spectrum, sourced instrument by instrument, and it tracks the proceedings where AI is part of the facts. There is no observatory yet because an observatory needs a binding AI-specific duty to watch, and Malaysia has none. When the AI Governance Bill becomes law, that section opens.
What stands out is the gap between an active soft-law agenda and the absence of any binding AI rule. The National AI Office, set up in December 2024, is drafting the framework meant to close it.
Know of a Malaysian proceeding where AI is part of the facts? Send a source link; it will be reviewed before publishing.
Submit a caseMalaysia is mid-transition. The proposed AI Governance Bill entered public consultation on 10 July 2026 through MPC's Unified Public Consultation portal, closing 31 July, with a National AI Action Plan to follow. If enacted, the Bill would be the first instrument to bind operators on AI, and the first marker to cross from the soft-law side of the map into binding law.
Until then, courts and the regulator absorb AI harms through statutes written for other things. This site keeps the map and the record current, so the crossing is easy to spot.