The message was delivered at the Adopt AI Summit in Paris, where sustainability and ethics featured prominently in discussions on future AI development.
At a Grand Palais panel, policymakers, industry leaders, and UN officials examined AI’s growing energy, water, and computing demands. The discussion focused on balancing AI’s climate applications with the need to reduce its environmental footprint.
Public sector representatives highlighted policy tools such as funding priorities and procurement rules to encourage more resource-efficient AI.
UNESCO officials stressed that energy-efficient AI must remain accessible to lower-income regions, mainly for water management and climate resilience.
Industry voices highlighted practical steps to improve AI efficiency while supporting internal sustainability goals. Participants agreed that coordinated action among governments, businesses, international organisations, and academia is essential for meaningful environmental impact.
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Generative AI has rapidly entered classrooms worldwide, with students using chatbots for assignments and teachers adopting AI tools for lesson planning. Adoption has been rapid, driven by easy access, intuitive design, and minimal technical barriers.
A new OECD Digital Education Outlook 2026 highlights both opportunities and risks linked to this shift. AI can support learning when aligned with clear goals, but replacing productive struggle may weaken deep understanding and student focus.
Research cited in the report suggests that general-purpose AI tools may improve the quality of written work without boosting exam performance. Education-specific AI grounded in learning science appears more effective as a collaborative partner or research assistant.
Early trials also indicate that GenAI-powered tutoring tools can enhance teacher capacity and improve student outcomes, particularly in mathematics. Policymakers are urged to prioritise pedagogically sound AI that is rigorously evaluated to strengthen learning.
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Digital violence targeting women and girls is spreading across Europe, according to new research highlighting cyberstalking, surveillance and online threats as the most common reported abuses.
Digital tools have expanded opportunities for communication, yet online environments increasingly expose women to persistent harassment instead of safety and accountability.
Image-based abuse has grown sharply, with deepfake pornography now dominating synthetic sexual content and almost exclusively targeting women.
Algorithmic systems accelerate the circulation of misogynistic material, creating enclosed digital spaces where abuse is normalised rather than challenged. Researchers warn that automated recommendation mechanisms can quickly spread harmful narratives, particularly among younger audiences.
Recent generative technologies have further intensified concerns by enabling sexualised image manipulation with limited safeguards.
A vulnerability in Google Calendar allowed attackers to bypass privacy controls by embedding hidden instructions in standard calendar invitations. The issue exploited how Gemini interprets natural language when analysing user schedules.
Researchers at Miggo found that malicious prompts could be placed inside event descriptions. When Gemini scanned calendar data to answer routine queries, it unknowingly processed the embedded instructions.
The exploit used indirect prompt injection, a technique in which harmful commands are hidden within legitimate content. The AI model treated the text as trusted context rather than a potential threat.
In the proof-of-concept attack, Gemini was instructed to summarise a user’s private meetings and store the information in a new calendar event. The attacker could then access the data without alerting the victim.
Google confirmed the findings and deployed a fix after responsible disclosure. The case highlights growing security risks linked to how AI systems interpret natural language inputs.
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Lawmakers in the EU are moving closer to forcing technology companies to pay news publishers for the use of journalistic material in model training, according to a draft copyright report circulating in the European Parliament.
The text forms part of a broader effort to update copyright enforcement as automated content systems expand across media and information markets.
Compromise amendments also widen the scope beyond payment obligations, bringing AI-generated deepfakes and synthetic manipulation into sharper focus.
MEPs argue that existing legal tools fail to offer sufficient protection for publishers, journalists and citizens when automated systems reproduce or distort original reporting.
The report reflects growing concern that platform-driven content extraction undermines the sustainability of professional journalism. Lawmakers are increasingly framing compensation mechanisms as a corrective measure rather than as voluntary licensing or opaque commercial arrangements.
If adopted, the position of the Parliament would add further regulatory pressure on large technology firms already facing tighter scrutiny under the Digital Markets Act and related digital legislation, reinforcing Europe’s push to assert control over data use, content value and democratic safeguards.
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Several major AI companies appear slow to meet EU transparency obligations, raising concerns over compliance with the AI Act.
Under the regulation, developers of large foundation models must disclose information about training data sources, allowing creators to assess whether copyrighted material has been used.
Such disclosures are intended to offer a minimal baseline of transparency, covering the use of public datasets, licensed material and scraped websites.
While open-source providers such as Hugging Face have already published detailed templates, leading commercial developers have so far provided only broad descriptions of data usage instead of specific sources.
Formal enforcement of the rules will not begin until later in the year, extending a grace period for companies that released models after August 2025.
The European Commission has indicated willingness to impose fines if necessary, although it continues to assess whether newer models fall under immediate obligations.
The issue is likely to become politically sensitive, as stricter enforcement could affect US-based technology firms and intensify transatlantic tensions over digital regulation.
Transparency under the AI Act may therefore test both regulatory resolve and international relations as implementation moves closer.
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A new report by Anthropic suggests fears that AI will replace jobs remain overstated, with current use showing AI supporting workers rather than eliminating roles.
Analysis of millions of anonymised conversations with the Claude assistant indicates technology is mainly used to assist with specific tasks rather than full job automation.
The research shows AI affects occupations unevenly, reshaping work depending on role and skill level. Higher-skilled tasks, particularly in software development, dominate use, while some roles automate simpler activities rather than core responsibilities.
Productivity gains remain limited when tasks grow more complex, as reliability declines and human correction becomes necessary.
Geographic differences also shape adoption. Wealthier countries tend to use AI more frequently for work and personal activities, while lower-income economies rely more heavily on AI for education. Such patterns reflect different stages of adoption instead of a uniform global transformation.
Anthropic argues that understanding how AI is used matters as much as measuring adoption rates. The report suggests future economic impact will depend on experimentation, regulation and the balance between automation and collaboration, rather than widespread job displacement.
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IBM has unveiled a new consulting service designed to help organisations deploy and scale enterprise AI by pairing human experts with digital workers powered by AI.
The approach aims to address common challenges in AI adoption, such as skills gaps, governance, and integration with legacy systems, by combining domain expertise with automated AI capabilities that can execute repetitive and data-intensive tasks.
The service positions digital workers as extensions of human teams, enabling enterprises to accelerate workflows across areas such as finance, supply chain, customer service and IT operations. IBM emphasises that human specialists remain central to strategy, oversight and ethical use of AI, while digital workers support execution and scalability.
The offering includes guidance on governance frameworks, model choice, data architecture and change management to ensure responsible, secure and efficient deployment of AI technologies at scale.
IBM’s hybrid model reflects a broader industry trend toward human-AI collaboration, where AI amplifies professional capabilities while preserving human decision-making and oversight.
The company believes this will help organisations achieve measurable business outcomes faster than traditional AI implementations that rely solely on technology teams.
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New US tariffs on advanced AI chips are drawing scrutiny over their impact on global supply chains, with South Korea monitoring potential effects on its semiconductor industry.
The US administration has approved a 25 percent tariff on advanced chips that are imported into the US and then re-exported to third countries. The measure is widely seen as aimed at restricting the flow of AI accelerators to China.
The tariff thresholds are expected to cover processors such as Nvidia’s H200 and AMD’s MI325X, which rely on high-bandwidth memory supplied by Samsung Electronics and SK hynix.
Industry officials say most memory exports from South Korea to the US are used in domestic data centres, which are exempt under the proclamation, reducing direct exposure for suppliers.
South Korea’s trade ministry has launched consultations with industry leaders and US counterparts to assess risks and ensure Korean firms receive equal treatment to competitors in Taiwan, Japan and the EU.
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California has ordered Elon Musk’s AI company xAI to stop creating and sharing non-consensual sexual deepfakes immediately. The move follows a surge in explicit AI-generated images circulating on X.
Attorney General Rob Bonta said xAI’s Grok tool enabled the manipulation of images of women and children without consent. Authorities argue that such activity breaches state decency laws and a new deepfake pornography ban.
The Californian investigation began after researchers found Grok users shared more non-consensual sexual imagery than users of other platforms. xAI introduced partial restrictions, though regulators said the real-world impact remains unclear.
Lawmakers say the case highlights growing risks linked to AI image tools. California officials warned companies could face significant penalties if deepfake creation and distribution continue unchecked.
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