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Artificial Intelligence

Malaysia creative economy value-chain data model for AI and copyright policy

Malaysia Tests a Full-Chain Data Model for the Creative Economy

Malaysia’s Intellectual Property Corporation (MyIPO) and the World Intellectual Property Organization have introduced the Creative Economy Data Model at a national CEDM forum. MyIPO Director General Yusnieza Syarmila Yusoff said the model is designed to measure the creative economy across its full value chain rather than relying only on output indicators such as revenue, jobs or exports. Its scope includes digital transformation, platform-based activity, emerging business models and the growing impact of artificial intelligence on copyright industries.The policy value of the model will...
AI intellectual property governance and technology transfer for developing economies

Tanzania Brings AI IP Debate Back to Technology Transfer

On 8 July 2026, during WIPO’s 68th series of meetings of the Assemblies, Tanzania’s Deputy Permanent Representative in Geneva, Ambassador Hoyce Temu, spoke in the country’s national capacity and aligned Tanzania with statements delivered by South Africa for the African Group and Nepal for the Least Developed Countries Group. Tanzania called for a more inclusive, balanced and forward-looking intellectual property system, arguing that artificial intelligence could accelerate innovation and economic transformation only if developing economies also gain practical access to capacity building,...
AI software patent review and green fast-track in Israel

Israel Tightens the Technical-Effect Test for AI Software Patents

Developments reported around 8 July 2026 by the Israel Patent Office and in related case law further clarify the boundary for software- and AI-related patent claims. Following the position confirmed in the 2026 DABUS decision, an inventor named in an Israeli patent application must still be a natural person. On patent eligibility, merely implementing business logic, administrative processes or abstract rules with AI is unlikely to be enough. Applicants need to link the algorithm to a specific technical problem, system architecture and measurable result, such as stronger data security, lower...
South Korean technology leak investigators using patent data risk analysis

South Korea Expands IP Police to Target Strategic Technology Leaks

South Korea’s Ministry of Intellectual Property (MOIP, formerly KIPO) announced on 29 June 2026 that it was reorganising and expanding its response to technology leakage, with the new structure taking effect on 30 June. A dedicated Technology Leakage Special Judicial Police Division will now handle trade secret theft and leakage involving strategic sectors such as artificial intelligence and semiconductors, separating those investigations from routine patent and design infringement work. The technology police workforce is being increased from 27 to 61, with specialist investigators, patent...
AI infringement and cross-border digital enforcement in African markets

African Group Presses WIPO on AI Infringement and Digital Counterfeiting

On 15 July 2026, as the 68th WIPO Assemblies in Geneva reviewed the work of the Advisory Committee on Enforcement (ACE), the African Group placed generative-AI infringement, online piracy and digital counterfeiting among the enforcement gaps most exposed by fast-moving technologies. Its statement called for more targeted WIPO technical assistance and capacity building for African digital markets, intellectual property offices and enforcement authorities, arguing that legal tools, platform cooperation and digital-evidence capabilities have not kept pace with the scale and speed of online...
Malaysia copyright reform affecting AI training and online platforms

Malaysia’s Copyright Reform Puts AI Training and Platforms on Notice

MyIPO opened a public consultation on 3 July 2026 on proposed amendments to Malaysia’s Copyright Act 1987, with comments due by 14 August. The package spans AI and text-and-data mining, digital enforcement and copyright commercialisation. Among the proposals are rules for the use of protected works in AI training; stronger safeguards for technological protection measures (TPMs) and rights management information (RMI); a tighter online service-provider safe harbour with a notice-and-takedown window that may be as short as 12 hours; dynamic injunctions capable of reaching mirror, clone and...
Korean AI and data intellectual property resource hub

Korea Opens a Single Webpage for AI, Data and IP Issues

Korea’s Ministry of Intellectual Property (MOIP) has launched a consolidated “AI, Data and Intellectual Property” webpage on the Korea Institute of Intellectual Property (KIIP) website, bringing together research materials on the intersection of artificial intelligence, data and IP. The page is organised around four areas: AI technology and patent trends, AI and IP policy systems, data and IP, and AI-generated works and IP. In practical terms, it gives users one place to follow issues such as copyright in AI-generated outputs, inventorship and examination questions for AI-related...
Intellectual property pathways for AI-enabled health innovation

WIPO, WHO and ITU Map the IP Path for AI Health Innovation

The World Intellectual Property Organization (WIPO), the World Health Organization (WHO) and the International Telecommunication Union (ITU) have jointly released AI-enabled Health Innovation and IP: From idea to impact. Developed under the Global Initiative on AI for Health, the publication is designed for innovators, start-ups, research institutions and partners seeking to move AI-based health technologies from early development to practical deployment. It covers patents, trade secrets, copyright and data protection, alongside licensing, collaboration, regulation, health-data governance...
Digital transformation of IP examination in Brazil

Brazil’s INPI Turns to AI for Faster IP Examination

Brazil’s National Institute of Industrial Property (INPI) has placed examination efficiency at the centre of its 2026 action plan, with artificial intelligence tools expected to support searches, classification and substantive review for trademarks and industrial designs. For applicants, this should not be read as a simple IT update. If the new tools are matched with reliable data, examiner oversight and clear operating criteria, Brazil’s long examination timelines could begin to move in a more predictable direction.The plan also points to stronger regional protection for geographical...
AI and digital twin patent examination trends

German AI Patent Growth Puts Technical Character in Focus

The German Patent and Trade Mark Office (DPMA) has put digital technologies back at the centre of the patent debate. Its recent trend analysis shows continued growth in patent applications linked to digital key technologies, with particularly visible movement in computer technology, audiovisual technology and related fields. Within those categories, generative AI, machine learning, virtual modelling and industrial digital twins are becoming harder to separate from one another.The point is not simply that more AI-related applications are being filed. The more practical issue is that DPMA’s...
Kenya's proposed unified intellectual property authority and regulatory reform

Kenya Moves to Consolidate IP Regulation Under a Single Authority

According to a 14 July 2026 report by Spoor & Fisher, the Kenya IP Authority Bill, 2026 has been introduced in the National Assembly. It proposes merging the Kenya Industrial Property Institute (KIPI), the Kenya Copyright Board (KECOBO) and the Anti-Counterfeit Authority (ACA) into a single Kenya Intellectual Property Authority (KIPA), bringing patents, trademarks, industrial designs, copyright and anti-counterfeiting functions under one institutional framework. The bill also addresses mandatory IP recordation for imports, definitions for AI-assisted and AI-generated inventions, and a...
Saudi copyright reform covering AI training and digital platform liability

Saudi Copyright Reform Rewrites AI Training and Platform Liability

Saudi Arabia’s new Copyright Law will take effect on 12 August 2026, replacing the 2003 framework. Approved by Royal Decree No. M/169 and published in the Official Gazette on 13 February 2026, the law introduces a closely watched exception allowing reproduction of lawfully published works for the development of artificial intelligence products and algorithms, provided the user has lawfully obtained the original and the copying remains limited to that purpose. The provision is not a blanket licence for web scraping or large-scale model training: use must still satisfy the law’s safeguards...
South Korea MOIP AI examination strategy and updated PCT international search fee

Korea’s MOIP Deepens AI Examination Strategy as PCT Search Fee Changes

In early August 2026, South Korea’s former Korean Intellectual Property Office (KIPO), now elevated to the ministry-level Ministry of Intellectual Property (MOIP), moved to deepen its technical examination strategy for artificial intelligence and other future-growth technologies. The plan places AI, spatial computing and related strategic fields more prominently within examination capacity building, signalling an effort to make specialist patent examination a more active part of Korea’s innovation policy and international IP role.MOIP has also updated the fee charged in its capacity as a...
Visual disclaimer review for dynamic and 3D design filings

EUIPO Tightens Visual Disclaimer Review for Dynamic and 3D Designs

On 1 August 2026, the European Union Intellectual Property Office (EUIPO) issued its first-month examination feedback following the 1 July rollout of the revised EU design framework. With MP4, OBJ, STL and other dynamic or three-dimensional digital formats now accepted, early filings have exposed a practical weakness: visual disclaimers created through blurring, colour masking or similar techniques often fail to remain consistent across animation frames or viewing angles, particularly in files generated by AI tools or exported directly from modelling software.EUIPO’s message is...
AI disclosure and formalities checks in UK digital patent filing

UKIPO Tightens AI Filing Checks in One IPO Phase Two

The UK Intellectual Property Office (UKIPO) moved ahead with phase two of its One IPO digital patent service on 6 August 2026. The new stage pushes patent filing further toward structured electronic data and away from paper and conventional PDF forms. It also introduces dedicated metadata for AI-assisted drafting and inventorship, bringing the use of AI tools into the data checks performed during formalities examination.The practical effect is clearest for applicants filing at scale through APIs or automated workflows. If a submission package omits the required AI-use declaration or...

Nice Classification, 13th Edition: Key Reclassifications and the Arrival of AIaaS Reshape Trademark Filing Strategy

Effective January 1, 2026, the 13th edition of the Nice Classification (NCL 13-2026) introduced a set of changes that go well beyond editorial cleanup. Several commonly used goods were reclassified into new classes: spectacles, contact lenses and sunglasses moved to Class 10; electric toothbrushes moved to Class 21; heated clothing moved to Class 25; emergency and rescue vehicles moved to Class 12. Class 42 also added new terminology including “Artificial intelligence as a service (AIaaS).” For businesses preparing new trademark filings, international extensions, renewals or portfolio...
Evolving patent examination rules for AI and algorithm inventions in China

CNIPA’s 2026 Patent Examination Update: Clearer Rules for AI, Big Data and Algorithm-Related Inventions

China’s latest revision to the Patent Examination Guidelines, published by CNIPA at the end of 2025 and effective from January 1, 2026, makes the examination framework for inventions involving artificial intelligence, big data and algorithm-related features significantly more explicit. The revised text renames the relevant section to cover inventions involving AI, big data and other solutions containing algorithmic features or business rules and methods, while also adding a clearer Article 5(1) filter for content that violates law, social morality or the public interest.This is more than a...
Human-led patent examination supported by intelligent workflow tools

EPO and European Industry Align on AI in Patent Examination: Faster Workflows, but a Human-Centric Red Line Remains

At the end of March, the European Patent Office (EPO) publicly outlined the latest outcome of its dialogue with the German Association of Industry Intellectual Property Experts (VPP) and major corporate representatives: AI will continue to be integrated more deeply into the patent granting process and user-facing services, but this will not mean handing legal judgment over to machines. The shared position is becoming clearer: AI should strengthen efficiency, consistency and accessibility, while final legal decisions, procedural control and institutional accountability must remain firmly in...
Stronger Korean support for IP disputes and anti-counterfeit response

MOIP Raises Korea’s 2026 IP Dispute Response Budget to KRW 46.836 Billion: AI Patent Defense and K-Brand Anti-Counterfeit Support Expand in Parallel

South Korea’s Ministry of Intellectual Property (MOIP) has announced that its 2026 budget for intellectual property dispute response will rise to KRW 46.836 billion, up KRW 14.520 billion from the previous year. The policy target is highly practical: many companies still struggle to act effectively even after they have been sued or infringed because dispute response remains expensive, specialist-driven and difficult to coordinate across borders. The announcement makes that policy logic concrete through two representative scenarios: a generative AI company sued overseas by a non-practicing...
German AI copyright dispute over training data and reproduction boundaries

German Publisher Lawsuit Against an AI Company: How Training Data, Reproduction and Licensing May Be Repriced

Recent media reports indicate that a German publisher has sued an AI company over generative AI-related copyright issues, with the dispute framed around the use of training data, whether model training can amount to reproduction of protected works, and how legally relevant similarity between outputs and original works should be assessed. The case has drawn attention not only because it sits at the intersection of German copyright law and AI training practices, but also because it signals that traditional content rightsholders are increasingly willing to use litigation in more jurisdictions...