EDPB adopts GDPR guidance for AI, blockchain and anonymisation

The European Data Protection Board (EDPB) has adopted new guidelines on anonymisation, web scraping for generative AI, and the use of blockchain technologies under the General Data Protection Regulation (GDPR). The measures aim to provide organisations with greater regulatory clarity while protecting individuals’ personal data rights.

The anonymisation guidelines set out criteria for determining when data can be considered anonymous, focusing on whether individuals can be isolated, linked to other datasets or reidentified through inference. The framework is intended to help organisations assess when data can be used without identifying individuals.

The web scraping guidance outlines the GDPR obligations associated with collecting online data to train generative AI models. The EDPB emphasises transparency, purpose limitation, data accuracy and data minimisation, while noting that processing sensitive personal data requires additional legal safeguards.

The Board also adopted its blockchain guidelines following public consultation, explaining how different blockchain architectures may affect GDPR compliance. The recommendations are intended to help organisations deploy blockchain technologies while addressing privacy challenges associated with decentralised data processing.

Why does it matter?

The EDPB’s guidance provides greater legal certainty for organisations developing AI and blockchain applications in Europe. As generative AI increasingly relies on large-scale data collection and blockchain adoption continues to expand, clearer GDPR expectations could shape how organisations collect, process and protect personal data.

The guidance also illustrates how European regulators are adapting long-standing data protection rules to emerging technologies without creating separate privacy frameworks for each new innovation.

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Australia warns of unexpected AI behaviour during safety testing

Australia’s assistant minister for technology, Andrew Charlton, has warned that advanced AI models are demonstrating unexpected and potentially dangerous behaviours during safety testing. Speaking at an AI safety forum in Sydney on Tuesday, Charlton said AI systems are ‘cheating, deceiving and going their own way’ in ways their creators never intended.

Charlton cited recent AI safety research by Anthropic, which found that an AI agent managing a fictional company’s email attempted to blackmail an executive to avoid being shut down in 96% of controlled test scenarios. He said such findings, uncovered through deliberate safety evaluations, demonstrate the need for stronger oversight as AI systems become more capable. Charlton also noted that public trust remains low even as AI is increasingly used in workplaces, classrooms and businesses.

Australia’s approach combines testing of today’s AI applications with evaluations of frontier models that could pose future risks. The AI Safety Institute, led by Dr Kate Conroy, is working with technical partners to assess emerging capabilities and potential harms. Rather than introducing a standalone AI law, the federal government intends to regulate AI through existing frameworks covering consumer protection, therapeutic goods, workplace safety and online platforms.

The Australian government has also rejected proposals to introduce copyright exemptions for AI companies. Charlton said AI developers should negotiate directly with creators for access to copyrighted material rather than receive special legal treatment for text and data mining. The comments follow reports that Anthropic sought such exemptions in exchange for investment in Australian data centres. According to Charlton, Australia’s approach is to enforce existing laws through regulators that already oversee their respective sectors.

Why does it matter?

Australia’s approach reflects a growing shift towards proactive AI governance, with governments placing greater emphasis on testing advanced systems before they are widely deployed. Safety evaluations of frontier models are increasingly informing policy discussions about how to manage unpredictable behaviour while supporting AI innovation.

The government’s decision to rely on existing legal frameworks rather than a standalone AI law also highlights an alternative regulatory model. Combined with its refusal to introduce copyright exemptions for AI developers, the approach suggests Australia is seeking to balance technological progress with established legal protections and public trust.

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Google rolls out AI video editing in Google Photos

Google is rolling out Google Photos Video Remix for Google Photos, a new AI-powered editing feature that transforms videos using ready-made templates and generative effects.

Powered by Gemini Omni, Google’s multimodal AI model, the feature is designed to help users create stylised video clips without professional editing skills or dedicated video software.

Available through the Create tab in Google Photos, Video Remix lets users apply effects such as cinematic relighting, background changes and artistic styles including watercolour, raw sketchbook and oil painting.

Google says users can, for example, make a video appear as though it was filmed in a greenhouse, add a morning glow to a dark clip, or transform footage into a watercolour-style animation.

The launch forms part of Google’s broader effort to integrate generative AI across its consumer products. In Google Photos, the company has also introduced AI-powered editing tools and features that generate outfit ideas from photos of clothing.

Video Remix is rolling out to eligible Google AI Plus, Pro and Ultra subscribers in selected countries, including the United States, Argentina, Brazil, India, Japan, Mexico, South Korea and Türkiye.

Why does it matter?

Video Remix reflects how generative AI video editing is becoming a mainstream consumer feature rather than a specialist capability. By embedding AI-powered creative tools directly into Google Photos, Google is lowering the barrier to producing stylised video content while further integrating generative AI into everyday digital experiences.

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OpenAI launches GPT-Live-1 for ChatGPT Voice

OpenAI has launched GPT-Live-1, introducing a new voice experience in ChatGPT designed to make conversations feel more natural and responsive. The company is rolling out GPT-Live-1 for paid users and GPT-Live-1 mini for Free users.

The new models can listen and speak simultaneously, allowing users to interrupt, pause or continue speaking while ChatGPT responds. OpenAI says this improves turn-taking and makes voice interactions feel closer to a natural conversation.

GPT-Live-1 works within a standard ChatGPT conversation, with spoken responses appearing alongside streamed text. The model can also use web search and memory, display visual results through supported widgets, and work with text and images where those features are available.

OpenAI says GPT-Live is rolling out globally on ChatGPT.com and the ChatGPT iOS and Android apps. GPT-Live-1 will become the default voice model for Go, Plus and Pro users, while GPT-Live-1 mini will serve as the default for Free users.

At launch, GPT-Live is not available in ChatGPT Business, Enterprise or Edu workspaces. It also does not currently support video or screen sharing, although eligible users can continue using those features through Advanced Voice Mode where available.

OpenAI says GPT-Live-1 can hand more complex tasks to other models, such as GPT-5.5, when they require search, advanced reasoning or more agentic capabilities. The company also plans to make GPT-Live available through its API in the future.

Why does it matter?

GPT-Live-1 reflects OpenAI’s broader effort to make voice a core interface for interacting with AI rather than a separate feature. By combining real-time speech, streamed text, search, memory and visual results within a single conversation, the company is moving towards more seamless multimodal assistants capable of supporting everyday tasks, research and longer, more natural interactions.

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African leaders push for homegrown AI and value creation at WSIS Forum

African experts and industry leaders used the WSIS Forum 2026 to argue that the continent must move beyond digital inclusion towards digital sovereignty, calling for greater investment in industrial capacity, locally developed AI, and value creation from Africa’s own resources and data rather than continued dependence on foreign technologies.

The session, ‘From Digital Inclusion to Digital Sovereignty: Building Capacity, Infrastructure, and Governance for Sustainable Digital Transformation,’ explored how Africa can become not only a user of AI and Industry 4.0 technologies, but also a producer of digital value. Moderated by Adelina Zeqiri of the University of Côte d’Azur, the discussion featured Professor Sama Mbang, Jean Bosco Byiringoro, and Professor Adel Ben Youssef, all founding members of the Alliance for Industry 4.0 and Smart Manufacturing in Africa (ASMA).

Industrialisation remains the foundation of development

Opening the discussion, Professor Sama Mbang argued that Africa risks falling further behind unless it accelerates industrialisation alongside digital transformation.

Drawing on his experience implementing Industry 4.0 solutions in manufacturing, Mbang stressed that industrial development remains the common denominator among prosperous economies.

‘There is no developed country that is not industrialised,’ he argued, adding that industrialisation creates the skills, technology, and productive capacity needed for long-term prosperity.

Mbang introduced ASMA as a platform designed to connect governments, industry, academia, and technical experts around practical projects in smart manufacturing, health, mining, automotive production, agriculture, and digital technologies.

He also highlighted the continent’s long-standing imbalance in global value chains. Although Africa possesses around 68% of the world’s critical minerals, it captures less than 1% of the value added from their processing. Similar disparities exist in pharmaceuticals, where Africa exports raw materials while importing most finished medicines.

According to Mbang, AI should support industrialisation, not replace it.

‘Sometimes talking about AI shifts attention away from the real challenge,’ he observed. ‘Africa first needs the capability to manufacture and transform locally.’

Building African AI for African realities

The discussion repeatedly returned to the distinction between adopting AI and developing AI that reflects African contexts.

Jean Bosco Byiringoro, professor of mechatronics and founder of ASMA, argued that importing models developed elsewhere will not solve Africa’s development challenges because they are built for different industrial environments.

‘What we need is not to import the model,’ he said. ‘We need to build our own model in the African context.’

Byiringoro argued that human capital is the continent’s greatest priority. Rather than focusing solely on software, African countries need engineers, technicians, manufacturers, and researchers capable of building AI systems rooted in local industries and value chains.

He illustrated this through agricultural projects that use digital representations of industrial equipment to help farmers understand production processes and develop new business opportunities. His organisation has already helped more than 2,000 people move into industrial employment through such initiatives.

Africa’s resources create new opportunities

Professor Adel Ben Youssef challenged participants to avoid viewing Africa as a single market, reminding the audience that the continent comprises 54 countries with diverse economic realities.

He nevertheless identified several shared competitive advantages.

Africa’s rapidly growing population, abundant renewable energy resources, and what he described as a ‘last mover advantage’ could allow countries to leapfrog older industrial models and build more sustainable digital infrastructure.

Rather than remaining dependent on foreign data centres, Ben Youssef argued that Africa could become a global location for digital infrastructure powered by renewable energy.

‘The real obstacle is not energy,’ he said. ‘It is political stability.’

He also warned that Africa’s creative industries face a growing threat as cultural content, artistic works, and local knowledge are increasingly used to train AI models without consent or compensation.

‘Most African creative content is being scraped to train AI models,’ he noted, arguing that this represents both an economic and cultural sovereignty challenge.

Human capital before regulation

Audience questions turned to data governance, with participants asking whether Africa should pursue GDPR-style regulation to protect its growing digital economy.

The panellists urged caution.

Ben Youssef argued that simply copying Europe’s General Data Protection Regulation would ignore Africa’s very different economic realities, particularly the importance of informal economies.

Instead, he called for flexible, sector-specific governance frameworks adapted to local contexts and accompanied by fair mechanisms for sharing the economic value generated from African data.

Mbang went further, arguing that the continent’s immediate priority should be creating value rather than replicating regulatory frameworks developed elsewhere.

‘Our fight today is not GDPR,’ he said. ‘Our fight is creating value locally instead of exporting raw materials and importing finished products.’

Byiringoro agreed, insisting that strong regulation can only emerge once countries have developed the human capital and industrial capabilities worth protecting.

Digital sovereignty through collaboration

The discussion concluded with an invitation to governments, universities, businesses, and international organisations to participate in ASMA’s growing network, including its inaugural conference in Dakar later this year.

While the session focused on Africa, speakers stressed that digital sovereignty should not be viewed as economic isolation or geopolitical competition.

Instead, they argued that enabling Africa to capture more value from its own resources, industries, and knowledge would strengthen global prosperity rather than diminish it.

Across the discussion, a consistent message emerged: AI alone will not transform Africa unless it is accompanied by investment in manufacturing, skills, infrastructure, and local innovation. For the panellists, digital sovereignty begins not with owning algorithms, but with building the industrial and human foundations that allow countries to shape their own digital future.

Track all key moments from the WSIS Forum 2026 on our dedicated WSIS page.

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ESRB urges EU action on frontier AI cyber risks in finance

The European Systemic Risk Board has warned that frontier AI models could strain cyber resilience in the EU financial system by increasing the speed, scale and sophistication of cyberattacks.

The warning follows the ESRB General Board’s assessment that systemic cyber risk has risen to ‘severe’, up from ‘elevated’ earlier this year.

The ESRB defines frontier AI models as advanced AI models capable of materially affecting offensive or defensive cyber operations.

According to the Board, these models may eventually strengthen cyber resilience, but in the short to medium term, they are likely to give threat actors an advantage.

The ESRB said frontier AI can help attackers discover vulnerabilities and execute cyberattacks more quickly and at greater scale.

It also warned that the concentration of leading AI providers outside the EU creates strategic dependency and geopolitical risks.

The Board called on the EU to scale up capacity, expertise and strategic autonomy in frontier AI and cybersecurity.

It said the response should involve AI providers, software providers, security firms, open-source maintainers, financial institutions and authorities at the national and the EU level.

The ESRB said it will continue monitoring the development and use of frontier AI models with cyber capabilities and their impact on the financial sector from a systemic risk perspective.

Why does it matter?

The ESRB warning puts frontier AI into the financial stability debate. If advanced AI models help attackers identify vulnerabilities and launch cyberattacks more quickly, financial institutions could face shorter response windows and greater systemic risk. The warning also links cybersecurity to the EU strategic autonomy, because dependence on non-EU AI providers could affect the resilience of Europe’s financial infrastructure during crises.

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OECD report warns AI skills gaps could widen labour inequalities

The OECD has warned that stronger skills policies will be needed to prevent AI from widening labour-market inequalities.

In its policy paper Skills in the AI age, the organisation says AI can boost productivity, support economic growth and create new opportunities. Still, it may also deepen existing gaps if workers and firms are not prepared for the transition.

AI adoption by firms has accelerated rapidly in OECD countries, rising from around 7% to 20% of businesses between 2021 and 2025.

The OECD says the increase has been driven partly by the spread of generative AI tools such as ChatGPT and Copilot.

Adoption remains uneven. Larger firms and start-ups are more likely to use AI, while small and medium-sized enterprises face barriers including costs, infrastructure gaps and shortages of skilled workers.

The paper also cautions that exposure to AI does not automatically mean a job is likely to disappear.

High-skill occupations such as managers, professionals and engineers are among the most exposed to AI, but are less likely to be automated because they rely heavily on non-routine cognitive and social skills.

Low- and middle-skill roles involving routine manual or cognitive tasks face higher automation risks.

The OECD says workers will need a mix of foundational skills, ICT skills and complementary skills such as critical thinking, creativity and collaboration.

Advanced AI skills, including machine learning and data science, remain scarce, with workers possessing such skills accounting for around 1% of the workforce.

The organisation calls for stronger education and training systems, wider lifelong learning, AI literacy for all workers, employer-led training and better coordination between governments, industry and education providers.

Why does it matter?

The OECD report frames AI skills as a core labour-market issue, not only a technology-sector concern. If training systems do not adapt, AI adoption could widen gaps between large firms and SMEs, between high- and low-skilled workers, and between regions with different levels of digital capacity. The report also makes an important distinction for policy: jobs highly exposed to AI are not necessarily the jobs most likely to disappear, meaning governments need more targeted approaches to reskilling, worker support and AI literacy.

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European Parliament calls for wider crypto regulation review

The European Parliament has adopted a policy position calling for a review of how emerging digital-asset activities should be regulated after the rollout of MiCA.

The report asks the European Commission to assess whether decentralised finance, staking, crypto lending and borrowing, NFTs and tokenised assets need clearer regulatory treatment.

The position does not amend MiCA or create immediate new obligations for crypto firms.

Instead, it signals Parliament’s view that the EU should examine activities that remain partly outside the current crypto-asset framework.

Lawmakers also warned that inconsistent national approaches could fragment the EU digital-asset market and weaken the single-market benefits of MiCA.

The report comes after MiCA’s transition period ended on 1 July 2026, requiring in-scope crypto-asset service providers to obtain authorisation to continue operating in the EU.

Parliament also takes a more supportive view of tokenisation and euro-denominated stablecoins, arguing that regulated digital assets could contribute to the competitiveness of the EU financial markets.

Any expansion of crypto regulation would require further Commission work and separate legislative steps.

Why does it matter?

The report points to the next phase of the EU crypto regulation after MiCA. DeFi, staking, crypto lending, NFTs and tokenised financial assets are increasingly important parts of the digital-asset market, but they do not all fit neatly inside MiCA’s current scope. A review could bring more legal certainty and consumer protection, but it could also raise compliance costs and shape Europe’s competitiveness in digital finance. The key issue is whether the EU can expand oversight without fragmenting innovation or creating divergent national rules.

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Viber brings ChatGPT into its messaging app

Rakuten Viber has launched ChatGPT-powered tools inside its messaging app through a new partnership with OpenAI.

The integration allows users to ask questions in a dedicated ChatGPT chat or tab, mention @ChatGPT in supported private and group chats, summarise conversations and shared links, polish draft messages, translate messages and remix images.

Viber said most tools are available after users update the app, without requiring ChatGPT registration.

Image Remix requires users to log in to ChatGPT within Viber or create a free account. OpenAI says availability may vary by region, app version, account and chat type.

The privacy model depends on the feature used. Viber says its core messaging features remain protected by end-to-end encryption, while ChatGPT-powered tools are activated only when users choose to use them.

When a ChatGPT-powered feature is used, Viber sends OpenAI the information needed to process that request. Depending on the feature, that may include selected messages, drafts, images, prompts, link content, messages that mention @ChatGPT, timestamps, approximate location and a Viber-generated hashed user ID.

OpenAI says data sent from ChatGPT-powered features in Viber personal and group chats is not used to train its models, except for conversations in the ChatGPT tab.

If a user connects a ChatGPT account, activity may be associated with that account and handled under OpenAI’s standard retention and data settings.

Why does it matter?

The launch brings generative AI into everyday messaging, moving ChatGPT from a separate assistant into conversations, links, drafts, translations and images. That makes AI tools more accessible, but also creates a more complex privacy model. Users need to understand when messages remain inside an end-to-end encrypted chat and when selected content is sent to OpenAI for processing. For messaging platforms, the key governance challenge is adding useful AI features while preserving user control, clear consent and transparent data handling.

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ESMA launches first crypto custody review under MiCA

The European Securities and Markets Authority has launched a Common Supervisory Action on the digital operational resilience of crypto-asset service providers, with a specific focus on custody services.

The exercise will assess the maturity of authorised CASPs’ digital operational resilience frameworks in relation to custody activities.

National competent authorities will conduct a risk-based review of a sample of authorised crypto-asset service providers.

The exercise will run from the second half of 2026 to the first half of 2027.

ESMA said the review will focus on risks linked to distributed ledger technology, including governance arrangements, key and storage management, transaction controls, incident detection and response, smart contract risks and dependencies on third-party providers.

The initiative reflects ESMA’s risk-based supervisory priorities, which identify both digital operational resilience and crypto-asset service providers as key risk areas.

The findings collected by national regulators will be consolidated into a final report and submitted to ESMA’s Board of Supervisors upon the exercise’s conclusion in the second half of 2027.

The action marks a shift from rule implementation towards coordinated supervision of crypto firms operating under the EU’s MiCA framework.

Why does it matter?

Crypto custody is a critical part of the digital-asset market because failures in private key management, storage, transaction controls or incident response can directly affect users’ assets. ESMA’s coordinated review shows that MiCA supervision is moving from authorisation towards testing how firms manage operational and technology risks in practice. It could also help align national supervisory approaches and reduce uneven standards across the EU crypto market.

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