Digital standards

UK teachers embrace AI for future education

Teachers in Stoke-on-Trent gathered for a full-day event to discuss the role of AI in education. Organised by the Good Future Foundation, the session saw more than 40 educators, including Stoke-on-Trent South MP Allison Gardner, explore how AI can enhance teaching and learning. Gardner emphasised the government’s belief that AI represents a ‘generational opportunity’ for education in the UK.

The event highlighted both the promise and the challenges of integrating AI into UK schools. Attendees shared ideas on using AI to improve communication, particularly with families who speak English as an additional language, and to streamline access to school resources through automated chatbots. While the potential benefits are clear, many teachers expressed concerns about the risks associated with new technology.

Daniel Emmerson, executive director of the Good Future Foundation, stressed the importance of supporting educators in understanding and implementing AI. He explained that AI can help prepare students for a future dominated by this technology. Meanwhile, schools like Belgrave St Bartholomew’s Academy are already leading the way in using AI to improve lessons and prepare students for the opportunities AI will bring.

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Legal battle erupts between Brave and News Corp over indexing articles

Brave Software has filed a lawsuit against News Corp in a bid to preempt legal action over the indexing of copyrighted articles from publications such as The Wall Street Journal and the New York Post.

The legal dispute stems from a cease-and-desist letter issued by News Corp, which accused Brave of ‘scraping’ its websites and misappropriating content. Brave argues that indexing is standard practice for search engines and falls under ‘fair use.’

The lawsuit also raises concerns about the impact of such legal challenges on generative AI. Brave claims that search indexing is essential for AI models like ChatGPT and Google’s Gemini, which rely on search engine responses.

The company, which holds less than 1% of the search market compared to Google’s 90%, accuses News Corp of attempting to stifle competition and raise barriers for smaller search providers.

News Corp has rejected Brave’s arguments, with CEO Robert Thomson calling the company’s practices ‘parasitical’ and accusing it of unauthorised content scraping.

The dispute is part of a broader conflict between publishers and tech firms over the use of copyrighted material in AI training. News Corp previously sued AI startup Perplexity AI for allegedly copying its content without permission.

Brave is seeking a court declaration that its indexing practices do not constitute copyright infringement.

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China announces mandatory AI labelling requirements

Chinese authorities have announced new regulations requiring AI-generated content to be clearly labelled, with the rules set to take effect on 1 September 2025. Officials said the move aims to ensure transparency and support the ‘healthy development’ of AI.

The decision follows global discussions on the risks associated with AI-generated media, including misinformation and deepfakes.

By mandating labelling, China seeks to enhance accountability and distinguish AI-created content from human-generated material.

The new rules reflect the government’s ongoing efforts to regulate emerging technologies while maintaining control over digital information.

With AI playing an increasing role in content creation, policymakers worldwide are considering similar measures.

China’s regulations are expected to influence international approaches to AI governance as other nations evaluate their own strategies for handling AI-generated content.

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Dapr integrates AI agent support for developers

Dapr, the open-source microservices runtime introduced by Microsoft in 2019, has added new capabilities to support AI agents, broadening its appeal to developers creating scalable distributed applications.

Initially designed to simplify microservice-based app development, Dapr’s new functionality builds on its existing concept of virtual actors, making it easier to incorporate AI agents into systems.

The newly launched Dapr Agents offer developers a framework to efficiently run AI agents at scale with statefulness, making it ideal for applications involving large language models (LLMs).

However, this update allows seamless integration with popular AI providers, such as AWS Bedrock, OpenAI, and Hugging Face. Developers also benefit from Dapr’s orchestration and resource-efficient model, ensuring agents can spin up quickly when needed and retain state after tasks are completed.

Dapr Agents currently support Python, with plans for .NET and other languages like Java and Go coming soon.

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The role of AI in precision farming for wine production

AI is making its mark in the wine industry, with vineyards across California adopting cutting-edge technology to optimise crop production.

One notable example is Napa Valley farmer Tom Gamble, who has integrated an autonomous tractor equipped with AI sensors to map his vineyard.

These AI-powered machines gather data that allows farmers to make more informed decisions about water use, fertilizer application, and pest control, improving efficiency and sustainability.

AI’s influence extends beyond tractors. Companies like John Deere in the US have developed AI-driven technologies that help vineyard managers apply materials more precisely, reducing waste and environmental impact.

Smart irrigation systems, for example, can monitor water use and even shut off in case of leaks, making vineyards more water-efficient.

Despite concerns about the cost of adopting such technology, particularly for smaller, family-run vineyards, AI offers a way to streamline operations and adapt to changing environmental conditions.

While AI is enhancing wine production, it also aids in managing crop health and predicting yields. By analysing images and soil data, AI systems can detect early signs of disease or nutrient deficiencies, helping farmers take preventive action before issues escalate.

However, this technology allows vineyards to make smarter decisions, ultimately improving the quality and consistency of their wine production.

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Meta faces lawsuit in France over copyrighted AI training data

Leading French publishers and authors have filed a lawsuit against Meta, alleging the tech giant used their copyrighted content to train its artificial intelligence systems without permission.

The National Publishing Union (SNE), the National Union of Authors and Composers (SNAC), and the Society of Men of Letters (SGDL) argue that Meta’s actions constitute significant copyright infringement and economic ‘parasitism.’ The complaint was lodged earlier this week in a Paris court.

This lawsuit is the first of its kind in France but follows a wave of similar actions in the US, where authors and visual artists are challenging the use of their works by companies like Meta to train AI models.

As the issue of AI-generated content continues to grow, these legal actions highlight the mounting concerns over how tech companies utilise vast amounts of copyrighted material without compensation or consent from creators.

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Central bank of Russia opens path for wealthy to invest in crypto

Russia’s central bank has proposed a regulatory framework that would permit wealthy individuals to invest in cryptocurrencies, under a new ‘experimental’ regime for ‘specially qualified’ investors.

This initiative marks a significant shift in Russia’s approach to crypto assets, as the country has slowly relaxed its strong opposition to cryptocurrencies.

The central bank’s proposal would allow individuals whose investments exceed 100 million roubles or whose annual income surpasses 50 million roubles to participate in crypto trading.

While the proposal seeks to increase transparency within the cryptocurrency market, it also highlights the risks involved, reminding investors of the potential for financial losses.

The new regime would last for three years, providing a controlled environment for crypto investments. However, cryptocurrencies will still be banned as a form of payment in Russia, maintaining a cautious approach to their full integration into the economy.

This proposal follows a broader trend of easing cryptocurrency restrictions, particularly after a law was passed last year allowing businesses to use crypto in international trade.

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EU draft AI code faces industry pushback

The tech industry remains concerned about a newly released draft of the Code of Practice on General-Purpose Artificial Intelligence (GPAI), which aims to help AI providers comply with the EU‘s AI Act.

The proposed rules, which cover transparency, copyright, risk assessment, and mitigation, have sparked significant debate, especially among copyright holders and publishers.

Industry representatives argue that the draft still presents serious issues, particularly regarding copyright obligations and external risk assessments, which they believe could hinder innovation.

Tech lobby groups, such as the CCIA and DOT Europe, have expressed dissatisfaction with the latest draft, highlighting that it continues to impose burdensome requirements beyond the scope of the original AI Act.

Notably, the mandatory third-party risk assessments both before and after deployment remain a point of contention. Despite some improvements in the new version, these provisions are seen as unnecessary and potentially damaging to the industry.

Copyright concerns remain central, with organisations like News Media Europe warning that the draft still fails to respect copyright law. They argue that AI companies should not be merely expected to make ‘best efforts’ not to use content without proper authorisation.

Additionally, the draft is criticised for failing to fully address fundamental rights risks, which, according to experts, should be a primary concern for AI model providers.

The draft is open for feedback until 30 March, with the final version expected to be released in May. However, the European Commission’s ability to formalise the Code under the AI Act, which comes into full effect in 2027, remains uncertain.

Meanwhile, the issue of copyright and AI is also being closely examined by the European Parliament.

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Google enhances Gemini AI with smarter personalisation

Google has announced an update to its Gemini AI assistant, enhancing personalisation to better anticipate user needs and deliver responses that feel more like those of a personal assistant.

The feature, initially available on desktop before rolling out to mobile, allows Gemini to offer tailored recommendations, such as travel ideas, based on search history and, in the future, data from apps like Photos and YouTube.

Users can opt in to the new personalisation features, sharing details like dietary preferences or past conversations to refine responses further.

Google assures that users must explicitly grant permission for Gemini to access search history and other services, and they can disconnect at any time.

However, this level of contextual awareness could give Google an advantage over competitors like ChatGPT by leveraging its vast ecosystem of user data.

The update signals a shift in how users interact with AI, bringing it closer to traditional search while raising questions for publishers and SEO professionals.

As Gemini increasingly provides direct, personalised answers, it may reduce the need for users to visit external websites. While currently experimental, the potential for Google to push broader adoption of AI-driven personalisation could reshape digital content discovery and search behaviour in the future.

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Indian police arrest Garantex administrator wanted by US

Indian authorities have arrested Aleksej Besciokov, an administrator of the Russian cryptocurrency exchange Garantex, at the request of the US.

Besciokov, a Russian resident and Lithuanian national, was taken into custody in Kerala on charges of money laundering and violating sanctions. The Central Bureau of Investigation (CBI) said he was planning to flee India, and Washington is expected to seek his extradition.

The arrest follows a joint operation by the US, Germany, and Finland to dismantle Garantex’s online infrastructure.

The exchange, under US sanctions since 2022, has processed at least $96 billion in cryptocurrency transactions since 2019. The US Justice Department recently charged two administrators, including Besciokov, with operating an unlicensed money-transmitting business.

Experts warn that sanctioned exchanges often attempt to bypass restrictions by setting up new entities. Blockchain research firm TRM Labs called the Garantex takedown a significant step in combating illicit finance but emphasised the need for continued vigilance against evasion tactics.

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