Digital standards

EPO reports record patent demand as AI and digital services boost innovation

The European Patent Office (EPO) has published its Annual Review 2025, revealing that European patent applications exceeded 200,000 for the first time in the organisation’s history.

The milestone reflects growing confidence in the European patent system, supported by continued investment in digital transformation, AI and more efficient patent examination processes under the Strategic Plan 2028.

The Office processed a record 418,868 patent dossiers during 2025, increasing productivity by 4% while maintaining high quality standards and improving the speed of patent searches, grants and opposition proceedings.

User satisfaction also remained high following the EPO’s largest-ever satisfaction survey, involving more than 8,000 participants. Innovation activity continued to grow across strategic sectors including digital technologies, healthcare, advanced materials and battery technologies.

AI played an increasingly important role throughout the patent granting process. The EPO expanded AI-powered tools for patent examiners, including a large language model-based enhancement to its PreSearch system, designed to improve prior art discovery while ensuring examiners retain full control over decision-making.

Additional AI-supported capabilities now assist with document analysis, advanced searches, file allocation and oral proceedings. At the same time, MyEPO continued evolving as the organisation’s central digital platform, while Online Filing 2.0 became the standard filing tool ahead of broader DOCX filing deployment.

The report also highlights the growing success of the Unitary Patent system, with SMEs, universities and public research organisations accounting for nearly half of all Unitary Patents granted to European innovators.

Alongside new innovation intelligence tools such as the Patent Standards Explorer, Digital Library and expanded Deep Tech Finder, the EPO says it is strengthening Europe’s innovation ecosystem through greater transparency, digital services and data-driven patent intelligence.

Why does it matter?

The Annual Review demonstrates how AI is becoming embedded within one of Europe’s most important innovation institutions. Rather than replacing patent examiners, AI is being deployed to improve search quality, accelerate administrative processes and strengthen decision-making while maintaining human oversight.

It also illustrates Europe’s broader strategy of combining AI adoption with digital public services, intellectual property protection and innovation policy.

Record patent demand, expanding use of the Unitary Patent and new digital tools suggest the EPO is positioning itself as a key pillar of Europe’s competitiveness in emerging technologies, particularly as global competition intensifies in AI, semiconductors, advanced manufacturing and deep tech.

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UK CMA consults on Apple and Google app store payment rules

The UK Competition and Markets Authority has opened consultations on new requirements for Apple and Google under the country’s digital markets competition regime.

Proposed steering requirements would allow app developers to direct UK users to payment options outside Apple’s App Store and Google’s Play Store. The CMA said Apple currently bans steering in the UK, while Google restricts it.

According to the regulator, allowing developers to communicate with customers about off-platform options could increase competition, reduce payment costs and support innovation across mobile services.

Consultation proposals also cover principles to ensure that any steering fees charged by Apple and Google are fair and reasonable. The CMA said such fees should be based on evidence and should be lower than current app store charges.

Alongside the steering proposals, officials are seeking views on a potential requirement for Apple to provide developers with access to near-field communication functionality on iOS.

Broader NFC access could allow UK fintechs and developers to support contactless payments from within their own apps. It could also support future payment methods, including account-to-account payments, digital currencies and stablecoins, as well as non-financial uses such as digital ID and car keys.

Responses to the steering conduct requirement are due by 28 July 2026, while views on the potential NFC requirement are due by 21 July 2026. The CMA will decide later this year whether to impose new obligations.

Why does it matter?

The consultations show the UK’s digital markets regime moving into targeted conduct rules for major mobile platforms. If adopted, the measures could weaken Apple and Google’s control over in-app payments and give developers more freedom to offer alternative purchasing channels. The NFC proposal also widens the debate beyond app store commissions, addressing Apple’s control over device functionality that can shape competition in mobile payments, digital identity and other services.

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Spain’s AI sandbox offers early test for biometric AI compliance

Spain’s AI regulatory sandbox is becoming an early test of how high-risk AI systems may prepare for compliance with the EU AI Act, with facial recognition among the technologies examined.

Spanish company Herta said it has completed the sandbox process for its facial-recognition video-surveillance system, BioSurveillance. The company presented the pilot as a step towards AI Act-ready deployments in public settings.

Herta describes BioSurveillance as a real-time video-surveillance system capable of detecting multiple faces, enrolling individuals during operation, identifying previously registered people and managing alerts. Its BioSurveillance NEXT product is designed for simultaneous identification in crowded and changing environments.

Spain’s AI agency, AESIA, says practical guides developed through the national AI regulatory sandbox are intended to help companies that develop or deploy high-risk AI systems prepare for their obligations under the EU AI Act. The guides provide recommendations while harmonised EU standards are still being developed.

However, sandbox participation should not be treated as approval for public facial recognition deployments. Remote biometric identification in publicly accessible spaces remains one of the most sensitive areas under the EU AI Act. It is subject to strict limits, depending on the use case, operator and context.

The case highlights how companies developing biometric AI systems are seeking early compliance pathways, while regulators face pressure to balance innovation, public safety, privacy and fundamental rights.

Why does it matter?

Facial recognition is one of the most contested areas of AI regulation because it combines public-space surveillance, biometric data processing and risks to privacy and fundamental rights. Spain’s sandbox offers an early view of how high-risk AI providers may prepare documentation, testing and compliance processes under the EU AI Act. The case also shows why compliance language must be used carefully: participation in a sandbox may support readiness, but it does not remove the legal restrictions surrounding biometric identification in public spaces.

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MIT develops AI system to improve robot understanding

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a system that helps robots interpret vague human instructions while using significantly less training data.

The approach, called Masked Inverse Reinforcement Learning (Masked IRL), uses two large language models to clarify tasks and identify the details that matter for safe robot movement.

One model expands ambiguous instructions based on user demonstrations. A second model filters out irrelevant information and highlights factors the robot should include in its motion plan.

The system can help robots understand unstated preferences, such as avoiding a laptop while delivering a coffee mug or keeping a safe distance from a person during a task.

MIT said Masked IRL correctly identified users’ unstated preferences up to 15% more often than comparable methods. Researchers also found that it required nearly five times less demonstration data to learn new tasks.

The approach was tested in simulated environments and on a real robotic arm. The robot completed tasks it had not seen during training, including moving a cup towards a person while avoiding a computer and handing over an object while staying away from nearby obstacles.

Researchers plan to make the system more dynamic by adding cameras, enabling robots to identify relevant objects and ignore distractions in their surroundings visually.

Why does it matter?

Masked IRL could make robots easier to deploy in homes, offices, factories and care environments by reducing the amount of human training needed. The system also addresses a core safety challenge in robotics: people often give vague instructions and leave important preferences unstated. Better interpretation of human intent could help robots work more safely around people, objects and changing environments.

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Australian audit highlights governance gaps in public-sector AI

The Australian National Audit Office has found that IP Australia’s use of AI in the patent rights process is largely effective, while calling for stronger cybersecurity governance, monitoring and strategic oversight.

Auditor-General Report No. 43 of 2025–26 examined whether IP Australia has effective arrangements to support AI adoption in the patent rights process. IP Australia administers intellectual property rights, including patents, trade marks, design rights and plant breeders’ rights.

The agency deployed its first AI tool for patent examination in 2018 and now uses four AI tools in the process. The tools are designed to provide examiners with information to support better decisions, rather than to decide patent applications themselves.

The ANAO said IP Australia has been an early adopter of AI and has progressively improved its governance arrangements. The agency has introduced an AI governance policy, risk-scaled assessment mechanisms and clearer enterprise accountability roles.

However, the audit found that strategic oversight of AI implementation and related benefits is not yet fully established. It said IP Australia’s AI inventory, committee roles and use-case ownership remain works in progress.

Monitoring and reporting were assessed as only partly effective. The ANAO said benefits have been inconsistently defined and measured, making it harder to demonstrate the ongoing effectiveness of AI tools and manage emerging risks.

The ANAO made two recommendations, urging IP Australia to review cybersecurity governance controls for AI and establish clearer risk-based monitoring and reporting arrangements. IP Australia agreed to both recommendations.

The audit said public-sector agencies should regularly reassess AI governance frameworks as they move from experimentation to wider use.

Why does it matter?

The audit shows how AI is moving from experimentation into routine public-sector decision support. IP Australia’s experience points to the benefits of AI in improving efficiency and quality, but also shows that governance must evolve as tools become embedded in official processes. Cybersecurity, accountability, monitoring and measurable benefits are becoming central to responsible AI use in government.

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Spain calls for stronger AI rules in labour relations

Spain’s Second Vice President and Minister of Labour and Social Economy, Yolanda Díaz, has called for stronger regulation of AI and algorithmic decision-making in the workplace.

Speaking at the University of Oxford, Díaz said the debate should no longer focus on whether AI should be used, but on how to organise its deployment so that labour rights and fundamental rights are protected.

She argued that AI and algorithms already influence recruitment, hiring, performance evaluation, promotion, contract changes, dismissals and pension-related decisions. According to Díaz, stronger oversight is needed to ensure transparency and accountability where algorithmic management affects workers.

Spain’s Rider Law was presented as an early example of algorithmic transparency in labour relations, requiring digital labour platforms to disclose information about algorithms that affect working conditions and access to work.

Díaz also criticised proposals to deregulate AI, arguing that technological development should serve the public good rather than concentrate power among a small number of technology companies.

Her intervention comes as the EU rules for high-risk AI systems in areas including employment are set to apply later than initially expected. The European Commission says these rules will apply from 2 December 2027 under the new AI Omnibus enforcement timeline.

Díaz said governments should actively shape how AI is used in the workplace through regulation and public policy, rather than leaving the future of work to market forces alone.

Why does it matter?

AI is increasingly used to manage recruitment, performance assessment, scheduling, promotion and dismissal decisions. Spain’s position places algorithmic transparency and worker rights at the centre of the European AI debate, especially as the EU’s employment-related high-risk AI obligations are delayed. The intervention also shows how member states may move ahead with stricter national rules when they believe EU-level protections are too slow or insufficient.

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Türkiye steps into quantum race with strategic roadmap

Türkiye has published an updated quantum technology roadmap, setting out 85 priority technology topics across quantum computing, quantum sensing and quantum communication.

The roadmap was developed through the Quantum Focus Technology Network (OTAĞ), coordinated by the Presidency of the Republic of Türkiye, Secretariat of Defence Industries. The process involved 305 experts from 123 institutions and organisations, including civilian and military stakeholders.

The roadmap classifies the 85 proposed technology topics into 34 near-term and 51 long-term priorities. Technologies were assessed using an analytical prioritisation method that considered Türkiye’s needs, existing capabilities, infrastructure, and end user requirements.

The strategy focuses on building domestic capability in quantum computing, sensing and communication by strengthening research infrastructure, developing skilled human capital and expanding cooperation between universities, industry, research centres and public institutions.

Priority steps include postgraduate programmes in quantum engineering and hardware technologies, researcher exchange and internship schemes, international research partnerships and critical infrastructure such as nanofabrication, cryogenic testing, precision measurement laboratories and sensor packaging.

The roadmap forms part of Türkiye’s wider effort to build a coordinated quantum ecosystem and improve its international competitiveness in a field with implications for cybersecurity, secure communications, advanced sensing and future computing.

Why does it matter?

Quantum technologies could reshape encryption, secure communications, sensing, navigation and high-performance computing. Türkiye’s roadmap is important because it turns quantum capability-building into a structured national programme with defence and strategic-technology relevance. By aligning universities, public institutions, industry and research centres around shared priorities, Türkiye is trying to reduce dependence on foreign technologies and position itself earlier in a field where global leadership is still being contested.

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Moldova tightens rules on AI in university theses

Moldova has approved a national framework regulation on academic integrity in higher education, introducing common rules on plagiarism, unauthorised use of AI and other forms of academic fraud.

The regulation, approved by the government and developed by the Ministry of Education and Research, sets a single framework that all higher education institutions in Moldova will be required to implement.

Under the new rules, students will have to declare whether they used AI in their academic work and explain how they used it. The ministry said the framework is intended to increase transparency and strengthen responsibility in the use of digital tools.

Acceptable AI use may include support functions such as proofreading, formatting or organising material, while core academic work, including analysis, interpretation and conclusions, must remain the student’s own intellectual contribution.

The regulation also classifies academic integrity violations by severity, with sanctions ranging from rewriting assignments to suspension or expulsion. Academic staff and supervisors may also face disciplinary measures if they fail to enforce integrity rules.

The framework forms part of Moldova’s wider effort to strengthen trust in higher education, including the planned use of a national anti-plagiarism system for bachelor’s and master’s theses.

Why does it matter?

Moldova’s rules show how universities are moving from informal guidance on generative AI towards enforceable academic integrity frameworks. Requiring students to disclose AI use can help distinguish between acceptable assistance and improper authorship, while preserving the value of independent analysis and critical thinking. The approach also reflects a wider education-policy challenge: institutions need to adapt assessment and integrity systems without banning useful digital tools entirely.

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Google proposes a balanced approach to AI governance in the US

Google has published a policy paper proposing a two-track approach to AI governance in the United States, separating oversight of frontier AI models from rules for widely deployed AI applications.

The paper argues that AI policy should avoid what Google describes as a false choice between over-regulation and no regulation. Instead, the company calls for a pragmatic, evidence-based framework that treats the most advanced AI systems differently from everyday AI tools such as chatbots.

For frontier AI, Google proposes the creation of a Frontier AI Regulatory Organisation, or FARO. The industry-funded body would operate under federal oversight and develop standards for safety, security, incident reporting and transparency.

Google says FARO could set scientific benchmarks for frontier capabilities, particularly in areas such as cybersecurity and chemical, biological, radiological and nuclear risks. It could also oversee independent audits and require frontier AI companies to publish and follow safety frameworks before releasing highly capable models.

For widely deployed AI applications, Google argues that the federal government should rely mainly on existing legal frameworks, with targeted updates where needed. The paper says policy should focus on real-world harms and outputs rather than micromanaging AI development.

The company identifies several priority areas, including workforce preparedness, child safety, information integrity, copyright, privacy and energy infrastructure for data centres.

Google supports measures such as AI interaction guidelines for children, disclosures that chatbots are not sentient, rules for self-harm-related queries, watermarking and provenance standards for generative AI, privacy-enhancing technologies and workforce reskilling.

The paper presents the model as a way to address national security and consumer protection risks while preserving US leadership in AI development.

Why does it matter?

Google’s paper is a significant industry intervention in the US AI policy debate. Its two-track model reflects a broader governance trend: frontier AI is increasingly being treated as a national security and safety issue, while everyday AI applications are being handled through consumer protection, child safety, privacy, copyright and labour policy. The proposal could influence federal discussions, but it also reflects Google’s own regulatory preferences, including industry-funded oversight, confidential audit reports and reliance on existing law for many AI applications.

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EU signs Pax Silica Declaration on AI supply chains

The European Commission has signed the Pax Silica Declaration on behalf of the EU, joining an international initiative focused on AI security and resilient silicon supply chains.

Pax Silica is a US-led initiative that aims to strengthen cooperation among allies and trusted partners across the AI supply chain, from critical minerals and energy inputs to semiconductor manufacturing, AI infrastructure and logistics.

The Commission said secure access to silicon and related technologies is becoming increasingly important as AI reshapes economies, security and industrial competitiveness.

The declaration commits signatories to closer cooperation on trusted technology ecosystems and more resilient supply chains. It also aims to reduce strategic dependencies and improve coordination on the materials, infrastructure and manufacturing capacity needed for AI development.

The EU’s signature follows the adoption of the European Technological Sovereignty Package, which includes Chips Act 2.0 and measures to strengthen Europe’s capacity in semiconductors, AI, cloud and open-source technologies.

The Commission said participation in Pax Silica could support European businesses, strengthen international partnerships and contribute to Europe’s broader technological sovereignty objectives.

Why does it matter?

AI development depends on far more than models and software. Advanced chips, critical minerals, energy, manufacturing capacity, cloud infrastructure and logistics are becoming strategic layers of the AI economy. By joining Pax Silica, the EU is linking AI competitiveness and security to semiconductor supply-chain resilience and cooperation with trusted partners. The move also shows how digital sovereignty is increasingly pursued through both domestic capacity-building and selective international alignment.

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