Kyrgyzstan is the Central Asian state that put artificial intelligence into a code rather than a strategy. Kyrgyzstan's international footprint runs through the Eurasian and UN-consensus tracks, a co-sponsor of the Central Asia AI resolution and covered by the Eurasian responsible-AI statement, and outside the Western instruments.
The shape is distinctive for the region: Kyrgyzstan chose to regulate AI inside the Digital Code rather than through a separate AI act, so its binding tier already carries an AI-specific instrument with operator duties, while the rights questions of intellectual property sit in older statutes untouched by it.
The AI-specific binding instrument. It requires a danger assessment of every AI system, published by the owner; defines a class of systems of increased danger with risk-management, explainability and documentation requirements; requires a self-declaration of conformity before a high-risk system is deployed; imposes use duties including effective human control, logging and suspension on a harm risk; and requires disclosure that a user is interacting with AI and that deepfake material is of artificial origin. Owners and users bear liability for harm regardless of the system's danger level. Its one hard prohibition is the use of AI for targeted and knowingly unlawful harm.
Source: cbd.minjust.gov.kgThe general data-protection regime, which consolidated and superseded the 2008 Law on personal information. It governs processing, storage and protection of personal data, and is the statute an AI training-data or automated-processing dispute would run through.
Source: cbd.minjust.gov.kgThe content-control law most relevant to synthetic disinformation. It allows an authorized body to order removal and to block websites without a court decision. It carries no AI or deepfake-specific wording, but it is the extrajudicial takedown mechanism that would apply to harmful synthetic content.
Source: cbd.minjust.gov.kgThe general criminal law used for online fraud, with a 2025 amendment adding an aggravator for offences committed using information technologies or the internet. No deepfake-specific offence exists, so AI-enabled fraud or impersonation is charged under the general fraud and defamation provisions.
Source: cbd.minjust.gov.kgThe authorship framework. Its Article 4 defines the author as the natural person whose creative labour created the work, and it carries no computer-generated-works provision. No AI-authorship rule.
Source: WIPO LexThe patent framework. Its Article 14 defines the author of an invention as the natural person whose creative labour created it. No AI-inventorship provision, and no AI examination practice.
Source: WIPO Lex; faolexThe whole-of-government digitalization roadmap and the successor to the 2019 to 2023 digital concept. It explicitly includes AI development, including Kyrgyz-language model ambitions, across public services and sectors. It sets direction and creates no enforceable AI duties.
Source: Ministry of Digital DevelopmentThe prospective AI strategy, discussed by the AI council within the cabinet, envisaging a national AI platform, computing capacity and public-service adoption. Not yet approved, and a strategy rather than a statute once adopted, since the binding AI rules already sit in the Digital Code.
Source: state mediaReported founding member, signed 16 Jul 2026; not named in the official Chinese release and no national acknowledgment found. Official source: China State Council release; reconstructed roster.
Adopted 2021, as a UNESCO member; no readiness assessment produced. Official source: unesco.org.
Adopted by consensus 22 Sep 2024; applies to Kyrgyzstan as a UN member. Official source: A/RES/79/1 annex, un.org.
Adopted by consensus 25 Jul 2025; Kyrgyzstan a named co-sponsor with the other Central Asian states. Official source: UN records; draft A/79/L.94 sponsor list.
Adopted by consensus in 2024; Kyrgyzstan bound as a UN member; no co-sponsorship claimed. Official source: UN records.
Summit-level political commitments
Adopted by the Supreme Eurasian Economic Council, Astana, 29 May 2026; Kyrgyzstan a member, President attending. Official source: Eurasian Economic Commission releases.
Axes: specificity (x, 0-100) is how squarely the instrument is written for AI; force (y, 0-100) is how hard it binds. Placements are editorial judgments for the comparison plot; the tier column is the authoritative classification. The pattern differs from the region: an AI-specific instrument sits high on both axes because AI is regulated in a binding code, not a strategy.
Tap a marker
The binding and prescriptive corner is the crowded one: the CAC-led measures put force and detail together, service by service. The sector guidance sits just left of the binding line, nonbinding in form but treated as obligatory. Dashed markers are drafts; the National AI Law would consolidate the whole stack into one statute.
Inclusion test: passed. A binding AI-specific operator duty is in force, the Digital Code AI chapter having entered force on 6 February 2026, and the duties include transparency obligations that are observable on consumer-facing systems. This section records the duty grid now; per-platform compliance evidence is scheduled for collection at the website build, and platforms are honestly marked unassessed until then.
The owner performs and publishes a danger assessment at design, before deployment and on any unplanned change, by a self-determined method meeting cabinet requirements
A system of increased danger carries risk management, explainability, data-quality and documentation measures, and the owner adopts and publishes a self-declaration of conformity before deployment
The user operates per the manual, keeps meaningful human oversight, retains logs, suspends on a harm risk and on regulator demand, and gives affected persons explanation information
A consumer told they are interacting with an AI system, unless obvious from context, with the fact of AI use published on the user and regulator sites
Material produced by an AI system as a deepfake discloses its artificial origin or alteration, subject to the statutory creative and security exceptions
Owners and users take reasonable measures to minimize risk and are liable for harm caused, regardless of the system's danger level
Evidence capture pending; assess the art. 197 interaction disclosure and deepfake-origin duty
Evidence capture pending; same criteria
Evidence capture pending; Russian-language deployment surface
Evidence capture pending; synthetic-content distribution surface
No adjudicated court case where artificial intelligence is materially at issue was found in Kyrgyzstan, and no dedicated deepfake offence with a citable article exists. Kyrgyz court portals are poorly indexed and largely unsearchable, so a non-public matter cannot be ruled out, but nothing is reported. One matter is recorded below as a reported incident, not an adjudicated case, and per the fabrication screen no case number is invented.
Portals and sweeps: WIPO Lex and Kyrgyzpatent pages; the Ministry of Justice legal databank; Kyrgyz media of record. Kyrgyz court judgment portals are not open to full-text search.
Kyrgyzstan's rights statutes hold the human line while the Digital Code moves: authorship and inventorship stay with natural persons, but a binding AI-transparency duty is now in force beside them.
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 20 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 findingThe patent law confines the author of an invention to a natural person whose creative labour created it, so an AI-assisted invention with a human inventor is open in principle while the machine cannot be named. No examination practice, guidance or grant evidence specific to AI-assisted inventions exists, and no DABUS-type filing has tested Kyrgyzstan.
What we look forProtection applied where human choices shape the work, and refusal of purely machine output.
The findingThe copyright law defines the author as the natural person whose creative labour created the work, so a human who directs an AI tool and contributes authorship can hold copyright, while purely AI-generated output has no qualifying author and no route to protection. There is no computer-generated-works provision, and no registration practice or ruling tests the point, so it is untested.
What we look forA statutory or judicial mining lane. Silence scores against the miner, since the reserved-rights default governs.
The findingThere is no training or text-and-data-mining exception. The copyright free-use provisions are a closed enumerated list, covering named uses such as personal reproduction, quotation, teaching and library use, with no open fair-use clause and no mining carve-out, and no reform is in motion. With copyright silent, the reserved-rights default governs the use of works for training.
What we look forA traceable, substantive submission on the record, not bare membership.
The findingKyrgyzstan is a WIPO member, joined in 1994, but the WIPO Conversation submissions record shows no traceable submission from Kyrgyzstan or Kyrgyzpatent, and no substantive session participation was found. Membership without a submission earns the middle.
What we look forA standalone AI examination text, not AI handled quietly under general practice.
The findingNo dedicated guidance from Kyrgyzpatent on examining AI-related filings was found. A reasonable-search negative.
What we look forA mandatory declaration inside the filing, not a proposal or an informal request.
The findingNo IP filing requires declaring AI use, but a binding AI-transparency duty is now in force: the Digital Code requires disclosure that a user is interacting with an AI system and that deepfake material is of artificial origin. It is a disclosure duty rather than the machine-readable marking of all synthetic content, so it earns the middle rather than the open pole, and it is six months old and untested.
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.
Kyrgyzstan is the Central Asian state that put artificial intelligence into a code rather than a strategy. The Digital Code, in force since February 2026, carries a dedicated AI chapter that creates the country's first binding AI duties: a danger assessment for every system, a high-risk class with conformity confirmation and human-control requirements, harm liability on owners and users whatever the danger level, and a transparency duty that makes AI interactions disclosable and deepfakes declare their artificial origin. It is lighter than a standalone AI act, self-declared rather than certified, with one general prohibition and a disclosure duty rather than a machine-readable marking rule. The intellectual-property statutes are older and confine authorship and inventorship to human makers. Kyrgyzstan's international footprint runs through the Eurasian and UN-consensus tracks, a co-sponsor of the Central Asia AI resolution and covered by the Eurasian responsible-AI statement, and outside the Western instruments.
The site does three things: it maps every instrument that governs AI in Kyrgyzstan, 15 of them, ordered by how hard each one binds; it reads the same instruments a second time by how squarely each is written for AI; and it records the matters where AI meets the law, with what was searched and found empty stated as plainly as what was found. Every claim traces to a primary source, and absences are recorded rather than papered over.
A membership claim enters this table only from an official list: a declaration annex, a treaty signature table, an organization's own record or an official government statement. Two Eurasian instruments anchor the band, and the WAICO entry carries a caveat set out below.
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