Artificial intelligence Archives | Page 7 of 683

Malaysia moves to strengthen laws against AI-enabled crimes

Malaysia is moving to strengthen its legal framework to address AI-enabled offences, including deepfakes, identity impersonation and AI-generated child sexual abuse material, according to Digital Minister Gobind Singh Deo.

Speaking in the Dewan Rakyat, Gobind said Malaysia already has legal protections in several areas, particularly those involving children, but that the country’s regulatory framework must evolve to keep pace with emerging AI-related risks, especially those affecting young people.

The minister said the government is pursuing a two-pronged strategy that combines safety-by-design measures during AI development with stronger enforcement mechanisms when AI-generated content violates existing laws.

Gobind added that the government is consulting academics, religious leaders and other stakeholders as part of its review process to ensure future regulations remain effective as AI technologies continue to evolve.

Why does it matter?

The initiative reflects a growing challenge facing governments worldwide: adapting legal systems to address harms created or amplified by AI technologies. Deepfakes, synthetic identities and AI-generated abuse material are creating new enforcement challenges that often do not fit neatly within existing legal frameworks designed for earlier digital technologies.

Malaysia’s approach also highlights an emerging policy trend that combines prevention and enforcement. Rather than relying solely on criminal penalties, governments are increasingly exploring safety-by-design requirements, risk management measures and stakeholder consultation to reduce harm before it occurs. The outcome of Malaysia’s review could influence how other countries in the region approach AI governance, online safety and digital rights.

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EU selects EUROPA consortium to build multilingual frontier AI model

The European Commission has selected the EUROPA consortium, led by Italian company Domyn, as the winner of its Frontier AI Grand Challenge. The project will develop a large-scale open-source AI model capable of operating across all 24 official languages of the EU.

Launched in February 2026, the competition challenged European AI innovators to propose a frontier model exceeding 400 billion parameters, a scale typically associated with some of the world’s most advanced AI systems.

The Commission said the initiative demonstrates Europe’s capacity to develop advanced AI using its domestic talent, infrastructure and industrial capabilities.

The EUROPA model will be openly accessible and designed to support businesses, researchers, public institutions and developers across the EU. By covering every official EU language, the project aims to address Europe’s linguistic diversity while expanding access to advanced AI technologies.

The Commission views the project as a strategic step towards greater technological sovereignty, strengthening Europe’s AI ecosystem while promoting openness, trust and European values in AI development.

Why does it matter?

The EUROPA project reflects Europe’s growing determination to develop advanced AI capabilities within its own technological ecosystem. As AI becomes increasingly important for economic competitiveness, public services and scientific research, access to large-scale models is emerging as a strategic capability alongside semiconductors, cloud infrastructure and high-performance computing.

The initiative is also notable for its focus on linguistic diversity and open access. By developing a frontier model capable of operating across all 24 official EU languages and making it openly available, the project aims to broaden participation in AI innovation while reducing dependence on a small number of predominantly US-based providers. Its success could become an important test of Europe’s ability to combine technological sovereignty with open and collaborative AI development.

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Beijing publishing forum calls for AI copyright standards

Publishing leaders and professionals have called for clearer copyright rules and industry standards for the use of AI in publishing, following discussions at the 2026 International Publishing Forum in Beijing.

The forum, held during the Beijing International Book Fair, brought together nearly 300 publishing executives and professionals from 26 countries and regions. It was jointly organised by the Publishers Association of China and the International Publishers Association.

Participants discussed how AI is reshaping publishing workflows, content production and distribution. They said AI should support, rather than replace, human creativity, with human-machine collaboration helping publishers improve efficiency and expand access to high-quality content.

Speakers also warned that the industry must protect intellectual property, preserve the authenticity and credibility of content, and support linguistic diversity as AI-generated material becomes more widely used.

Participants called for international cooperation on standards and copyright frameworks for AI applications in publishing. They said such rules should define rights and responsibilities, support fair compensation and ensure source traceability.

The discussions reflect growing concern in the publishing sector over how AI systems use copyrighted works, how original creators are recognised, and how publishers can maintain trust in content as synthetic media and automated production tools spread.

Why does it matter?

The forum highlights a central concern for creative industries: AI can improve publishing workflows and content distribution, but it also raises unresolved questions about copyright, attribution, compensation and authenticity. For publishers and authors, clear standards on source traceability and rights could become essential as AI-generated or AI-assisted content becomes more common.

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Los Angeles AI arts museum Dataland opens with Google Cloud support

Dataland, a Los Angeles museum dedicated to AI-based art, has opened to the public with Google serving as a technology and creative collaborator.

The museum was co-founded by media artist Refik Anadol and Efsun Erkılıç and is located at The Grand LA in downtown Los Angeles. Google says the 25,000-square-foot space is designed as an interactive environment where data, machine learning and sensory experiences form part of the artwork.

Its inaugural exhibition, ‘Machine Dreams: Rainforest’, uses Anadol’s Large Nature Model, an AI system trained on environmental datasets, to transform natural-world data into large-scale generative visuals.

Google Cloud provides infrastructure for the museum’s real-time image generation, soundscapes, scent augmentation and interactive visitor experiences. Google says the system uses tools including Gemini, diffusion models and generative adversarial networks.

The project builds on a decade of collaboration between Google and Anadol, including work using LA Philharmonic archives, Google Quantum AI data, planetary datasets and the ‘Machine Dreams: Biophilia’ installation at Google’s Mountain View campus.

Google Arts & Culture is also supporting the Dataland AI Artist Residency, a six-month programme for four artists. The residency will provide grants, mentorship from Refik Anadol Studio and access to Google Cloud tools and machine learning models.

Why does it matter?

Dataland shows how AI art is moving from experimental installations into permanent cultural infrastructure. It also highlights the role of cloud providers and large AI platforms in shaping creative production, exhibition design and access to machine-learning tools. For cultural institutions, the project raises broader questions about authorship, data provenance, sustainability, audience interaction and the dependence of new creative formats on private technology infrastructure.

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EPO places AI and quality at the centre of SACEPO discussions

The European Patent Office used the 58th meeting of the Standing Advisory Committee before the EPO to discuss patent quality, AI and the digital transformation of the European patent system.

The annual Main SACEPO meeting brought together users of the patent system to review the EPO’s Quality Action Plan 2026, legal changes, the Unitary Patent system and activities of the EPO Observatory and IP Lab.

A key focus was the use of AI to support the patent-granting process. The EPO said AI tools are intended to help examiners improve efficiency, consistency and completeness, while all patent decisions remain under human responsibility.

Participants also discussed progress on quality measures, stakeholder feedback and continued investment in examiner expertise, quality assurance and user engagement.

The meeting reviewed the EPO’s transition to a paperless patent-granting process, planned for April 2027, as well as updates to MyEPO services and DOCX filing.

Discussions also covered recent legal changes, the operational development of the Unitary Patent system, patent validation agreements, implementation of the WIPO treaty on genetic resources and traditional knowledge, and new activities from the EPO Observatory on Patents and Technology.

Why does it matter?

The meeting shows how AI is becoming part of the everyday infrastructure of patent administration. For patent offices, AI can support searches, classification, workflows and consistency, but legal certainty still depends on human responsibility and procedural safeguards. The EPO’s approach also reflects a wider shift towards fully digital public services in intellectual property, where automation, quality control and user trust need to develop together.

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EU and OECD launch AI literacy framework for schools

The European Commission and the OECD have presented a new AI literacy framework for primary and secondary education, aimed at helping schools prepare learners for a world increasingly shaped by AI technologies.

The AI Literacy Framework was unveiled on 18 June during the European Digital Education Hub flagship event in Brussels. The event, titled ‘Collaborate for Impact: Advancing European Digital Education and Skills’, brought together policymakers, educators, experts, and stakeholders from across Europe.

Developed with support from international experts, including CodeAI, the framework provides a common reference point for integrating AI literacy across education systems. It is accompanied by practical classroom examples for primary and secondary levels to help educators translate AI literacy into learning experiences.

The framework defines AI literacy as the combination of technical knowledge, durable skills and future-ready attitudes needed to participate effectively in a world influenced by AI. It aims to help learners engage with, create with, manage, and shape AI while critically evaluating its benefits, risks, and ethical implications.

The European Commission said AI is reshaping how people learn, work, communicate, and make decisions. It said education systems need to prepare young people to navigate AI in daily life and use it responsibly.

The framework defines AI literacy as the combination of technical knowledge, durable skills and future-ready attitudes needed to participate effectively in a world influenced by AI.

According to the Commission, 68% of teenagers already use AI tools, yet many education systems still lack structured approaches for integrating AI into teaching and learning. Addressing these barriers could help learners use AI more creatively, ethically, and effectively.

The framework is intended for teachers, education leaders, policymakers, and learning designers. It offers guidance on curriculum integration, school-level AI literacy initiatives, policy development, and the design of educational content and teacher training materials.

The framework is structured around four dimensions that describe how learners engage with, create with, manage, and shape AI. It also includes 19 competences organised around knowledge, skills, and attitudes, along with learner expectations, learning scenarios, and classroom examples.

The Commission said the framework supports the EU’s ambition to deliver high-quality, inclusive, and future-oriented digital education. It also contributes to the Digital Education Action Plan and the Union of Skills by helping learners develop competences for a digital and AI-driven society.

The framework complements several European initiatives and policy priorities, including the PISA 2029 Media and AI Literacy assessment, the Digital Education Action Plan 2021-2027, updated ethical guidelines for educators on AI use, the AI Act, and the European Digital Competence Framework.

Why does it matter?

AI is rapidly becoming a foundational digital skill, comparable to information literacy or internet literacy. As AI tools become increasingly integrated into education, work and everyday life, schools face growing pressure to help students understand not only how to use these technologies, but also how to evaluate their outputs, recognise their limitations and engage with them responsibly.

The framework also represents an important step towards harmonising AI education across Europe. By providing common competences, classroom examples and guidance for educators, it creates a bridge between AI policy objectives and practical teaching. This could help ensure that future generations develop the skills needed to participate in an AI-driven society while supporting broader European goals related to digital skills, innovation and trustworthy AI.

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Prime Minister Modi promotes human-centred AI governance at G7

Prime Minister Narendra Modi called for a human-centric approach to AI development while addressing a G7 Summit outreach session focused on the safe, rapid and efficient deployment of AI.

Modi said AI has the potential to reshape human civilisation but should be guided by principles of inclusivity, security and the public good. He highlighted India’s human-centric ‘MANAV’ vision for AI and referenced the country’s recent AI Impact Summit as part of its broader efforts to promote responsible AI development.

The Prime Minister of India said democratic countries should have access to advanced AI models capable of protecting critical information infrastructure and supporting responses to cybersecurity threats. He also called for an integrated approach that addresses safety, speed and efficiency together.

He argued that AI systems should be safe by design, supported by common standards and regulatory frameworks, and reinforced through international cooperation to address challenges such as deepfakes, misinformation and cyber fraud. The remarks were delivered at the G7 Summit in Evian, France.

Why does it matter?

Modi’s remarks reflect a growing international effort to shape AI governance around principles of safety, trust and public benefit. As governments seek to harness AI’s economic and societal potential, questions around security, misinformation, critical infrastructure protection and equitable access are becoming central to global policy discussions.

The intervention also highlights the increasing role of middle and emerging powers in AI governance debates. By promoting a human-centric approach and calling for common standards and international cooperation, India is positioning itself as an active participant in efforts to shape global norms for AI development and deployment.

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UNESCO assessment supports ethical AI roadmap in El Salvador

El Salvador has advanced its national AI agenda following the presentation of a Readiness Assessment Methodology (RAM) report developed by UNESCO in cooperation with the National Artificial Intelligence Agency (ANIA). The initiative brings together government institutions, international organisations, academia and the private sector to assess the country’s preparedness for ethical, inclusive and sustainable AI development.

The assessment is grounded in the UNESCO Recommendation on the Ethics of Artificial Intelligence, which establishes principles for safe and responsible AI deployment. According to the assessment, El Salvador’s legal and institutional framework, including measures related to data protection, cybersecurity and AI governance, has strengthened its position in regional AI readiness indicators.

The report highlights AI deployments already being used in public services, including digital health diagnostics, automated legal processes and large-scale digitisation of government records. Education systems are also integrating AI tools to expand access to learning, while projected economic gains suggest significant growth potential if ethical adoption continues to scale.

Alongside the findings, authorities outlined priorities aimed at reducing inequalities in access to technology, expanding participation in STEM education and ensuring that AI-related benefits reach both urban and rural communities.

The new National Artificial Intelligence Strategy 2026 sets out these priorities as part of a broader human-centred development model.

Why does it matter?

The initiative positions El Salvador as a test case for how emerging economies can align rapid AI adoption with structured governance and ethical safeguards. By embedding human-centred principles into national strategy and law, the country aims to prevent AI-driven gains from widening social or geographic inequalities while strengthening long-term digital readiness.

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Meta expands AI-powered teen safety protections across its platforms

Meta has announced new teen safety updates across Instagram, Facebook, and Messenger, including expanded age-appropriate content settings, AI-powered age detection, and new parental notification tools.

Meta said the updates are designed to ensure teens receive appropriate protections by default, give parents greater visibility into online activity and strengthen safeguards that support young people’s well-being.

Meta said its 13+ default content setting, recently introduced in India, is now rolling out globally across Instagram, Facebook, and Messenger. The setting is designed to limit exposure to age-inappropriate content by default, drawing on established content-rating principles and parent feedback.

On Facebook, the 13+ default setting is intended to hide content considered inappropriate for teens in areas such as Feed and Reels. It also limits teens’ ability to interact with Profiles, Pages, Groups, and Events that primarily post inappropriate content.

On Messenger, the 13+ default setting limits teens’ ability to view links to inappropriate Facebook content or chat with accounts that primarily share it.

Meta is also expanding its use of AI-powered age estimation systems to identify accounts that may belong to underage users. The company said the system analyses profile context, including birthday celebrations, school-grade mentions, posts, comments, bios, and captions, to assess whether an account is likely to belong to someone underage.

The company said it is adding visual analysis as another detection technique. According to Meta, the technology analyses photos and videos for general indicators associated with age, such as physical characteristics, but does not identify individuals and does not use facial recognition.

Meta said combining visual signals with text and interaction analysis could increase the number of underage accounts it identifies and removes. The technology will be expanded across additional parts of its apps, including Instagram Reels, Instagram Live, and Facebook Groups.

Instagram will also notify supervising parents if a teen repeatedly searches for terms related to suicide or self-harm within a short period, subject to supervision settings. Meta said the feature has been rolled out to supervising parents in the EU, Brazil, and India, with parents and teens receiving notifications that the alerts are on the way.

Parents using supervision can now manage their teens’ activity through Meta’s Family Center across Instagram, Meta Horizon, Facebook, and Messenger. Meta said parents will also be able to see a more holistic view of teen activity across its apps in the coming months, including aggregated time spent.

Why does it matter?

The announcement reflects a broader shift towards age-appropriate design, where platforms increasingly rely on default protections and automated systems rather than expecting young users or parents to configure safety settings themselves. AI-based age detection is becoming a central tool in efforts to identify underage users and enforce platform safeguards at scale.

The update also highlights ongoing debates about the balance between child protection, privacy and platform accountability. While automated age-estimation technologies may help improve online safety, regulators and civil society groups continue to scrutinise their accuracy, transparency and potential impact on users’ rights. As governments around the world consider stricter child online safety requirements, platform approaches such as Meta’s may influence future regulatory expectations.

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AI, sovereignty and infrastructure dominate the opening day of VivaTech 2026

The opening day of Viva Technology 2026 in Paris highlighted the growing influence of AI, with discussions focusing on execution, digital sovereignty and the infrastructure needed to support rapid technological change.

Jeff Bezos introduced Prometheus, an AI venture focused on physical engineering applications, while consultancy McKinsey & Company reported that 80% of large businesses now invest in AI, although only 6% report a measurable impact on profits.

The event also highlighted Europe’s ambition to strengthen its technology ecosystem and reduce strategic dependencies in key digital sectors. European Commission Executive Vice President Henna Virkkunen outlined initiatives aimed at expanding semiconductor production, increasing data centre capacity and supporting open-source technologies across Europe.

Alongside the conference, French startup Fairpatterns was selected to represent France at the Startup World Cup in November of this year, where participants will compete for a US$1 million investment prize. The event highlighted the strength of the French startup ecosystem in Paris.

Why does it matter?

VivaTech is one of Europe’s most influential technology events and provides a useful snapshot of emerging priorities in the global digital economy. The strong focus on AI execution rather than experimentation reflects a broader shift from testing AI technologies to generating measurable business and economic value from them.

The discussions also underscore the growing importance of digital sovereignty. As governments and businesses invest in AI, semiconductors, cloud infrastructure and data centres, competitiveness is increasingly linked to control over critical digital capabilities. The event highlights how Europe is seeking to strengthen its technological position while ensuring that innovation is supported by the infrastructure and investment needed to scale advanced technologies.

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