OpenAI launches ChatGPT Atlas web browser

OpenAI has launched ChatGPT Atlas, a web browser built around ChatGPT to help users work and explore online more efficiently. The browser lets ChatGPT operate directly on webpages, using past conversations and browsing context to assist with tasks without copying and pasting.

Early testers say it streamlines research, study, and productivity by providing instant AI support alongside the content they are viewing.

Atlas introduces browser memories, letting ChatGPT recall context from visited sites to improve responses and automate tasks. Users stay in control, with the ability to view, archive, or delete memories. 

Agent mode allows ChatGPT to perform tasks such as researching, summarising, or planning events while browsing. Safety is a priority, with safeguards to prevent unauthorised actions and options to operate in logged-out mode.

The browser is available worldwide on macOS for Free, Plus, Pro, and Go users, with Windows, iOS, and Android support coming soon. OpenAI plans to add multi-profile support, better developer tools, and improved app discoverability, advancing an agent-driven web experience with seamless AI integration.

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Kenya leads the way in AI skilling across Africa

Kenya’s AI Skilling Initiative (AINSI) is offering valuable insights for African countries aiming to build digital capabilities. With AI projected to create 230 million digital jobs across Africa by 2030, coordinated investment in skills development is vital to unlock this potential.

Despite growing ambition, fragmented efforts and uneven progress continue to limit impact.

Government leadership plays a central role in building national AI capacity. Kenya’s Regional Centre of Competence for Digital and AI Skilling has trained thousands of public servants through structured bootcamps and online programmes.

Standardising credentials and aligning training with industry needs are crucial to ensure skilling efforts translate into meaningful employment.

Industry and the informal economy are key to scaling transformation. Partnerships with KEPSA and MESH are training entrepreneurs and SMEs in AI and cybersecurity while tackling affordability, connectivity, and data access challenges.

Education initiatives, from K–12 to universities and technical institutions, are embedding AI training into curricula to prepare future generations.

Civil society collaboration further broadens access, with community-based programmes reaching gig workers and underserved groups. Kenya’s approach shows how inclusive, cross-sector frameworks can scale digital skills and support Africa’s AI-driven growth.

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YouTube launches likeness detection to protect creators from AI misuse

YouTube has expanded its AI safeguards with a new likeness detection system that identifies AI-generated videos imitating creators’ faces or voices. The tool is now available to eligible members of the YouTube Partner Program after a limited pilot phase.

Creators can review detected videos and request their removal under YouTube’s privacy rules or submit copyright claims.

YouTube said the feature aims to protect users from having their image used to promote products or spread misinformation without consent.

The onboarding process requires identity verification through a short selfie video and photo ID. Creators can opt out at any time, with scanning ending within a day of deactivation.

YouTube has backed recent legislative efforts, such as the NO FAKES Act in the US, which targets deceptive AI replicas. The move highlights growing industry concern over deepfake misuse and the protection of digital identity.

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Meta strengthens protection for older adults against online scams

The US giant, Meta, has intensified its campaign against online scams targeting older adults, marking Cybersecurity Awareness Month with new safety tools and global partnerships.

Additionally, Meta said it had detected and disrupted nearly eight million fraudulent accounts on Facebook and Instagram since January, many linked to organised scam centres operating across Asia and the Middle East.

The social media giant is joining the National Elder Fraud Coordination Center in the US, alongside partners including Google, Microsoft and Walmart, to strengthen investigations into large-scale fraud operations.

It is also collaborating with law enforcement and research groups such as Graphika to identify scams involving fake customer service pages, fraudulent financial recovery services and deceptive home renovation schemes.

Meta continues to roll out product updates to improve online safety. WhatsApp now warns users when they share screens with unknown contacts, while Messenger is testing AI-powered scam detection that alerts users to suspicious messages.

Across Facebook, Instagram and WhatsApp, users can activate passkeys and complete a Security Checkup to reinforce account protection.

The company has also partnered with organisations worldwide to raise scam awareness among older adults, from digital literacy workshops in Bangkok to influencer-led safety campaigns across Europe and India.

These efforts form part of Meta’s ongoing drive to protect users through a mix of education, advanced technology and cross-industry cooperation.

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Most EU workers now rely on digital tools and AI

A new EU study finds that 90% of workers rely on digital tools, while nearly a third use AI-powered chatbots in their daily work. The JRC and European Commission surveyed over 70,000 workers across all EU Member States between 2024 and 2025.

The findings show that AI is most commonly used for writing and translation tasks, followed by data processing and image generation. Adoption rates are particularly high in Northern and Central Europe, especially in office-based sectors.

Alongside this digital transformation, workplace monitoring is becoming increasingly widespread, with 37% of EU workers reporting that their working hours are tracked and 36% that their entry and exit times are monitored.

Algorithmic management, where digital systems allocate tasks or assess performance automatically, now affects about a quarter of EU workers. The study also identifies a growing ‘platformisation’ trend, categorising employees based on their exposure to digital monitoring and algorithmic control.

Workers facing full or physical platformisation often report higher stress levels and reduced autonomy, while informational platformisation appears to have milder effects, particularly for remote workers.

Researchers urge EU policymakers to curb digital oversight risks while promoting fair and responsible innovation. The findings support EU initiatives like the Quality Jobs Roadmap and efforts to regulate algorithmic management.

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Dutch watchdog warns AI chatbots threaten election integrity

The Dutch data authority warns AI chatbots are biased and unreliable for voting advice ahead of national elections. An AP investigation found chatbots often steered users to the same two parties, ignoring their actual preferences.

In over half of the tests, the bots suggested either Geert Wilders’ far-right Freedom Party (PVV) or the leftwing GroenLinks-PvdA led by Frans Timmermans. Other parties, such as the centre-right CDA, were rarely mentioned even when users’ answers closely matched their platforms.

AP deputy head Monique Verdier said that voters were being steered towards parties that did not necessarily reflect their political views, warning that this undermines the integrity of free and fair elections.

The report comes ahead of the 29 October election, where the PVV currently leads the polls. However, the race remains tight, with GroenLinks-PvdA and CDA still in contention and many voters undecided.

Although the AP noted that the bias was not intentional, it attributed the problem to the way AI chatbots function, highlighting the risks of relying on opaque systems for democratic decisions.

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Teachers become intelligence coaches in AI-driven learning

AI is reshaping education, pushing teachers to act as intelligence coaches and co-creators instead of traditional instructors.

Experts at an international conference, hosted in Greece, to celebrate Athens College’s centennial, discussed how AI personalises learning and demands a redefined teaching role.

Bill McDiarmid, professor emeritus at the University of North Carolina, said educators must now ask students where they find their information and why they trust it.

Similarly, Yong Zhao of the University of Kansas highlighted that AI enables individualised learning, allowing every student to achieve their full potential.

Speakers agreed AI should serve as a supportive partner, not a replacement, helping schools prepare students for an active role in shaping their futures.

The event, held under Greek President Konstantinos Tasoulas’ auspices, also urged caution when experimenting with AI on minors due to potential long-term risks.

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Nexos.ai raises €30 m to ease enterprise AI adoption

The European startup Nexos.ai, headquartered in Vilnius, Lithuania, has closed a €30 million Series A funding round, co-led by Index Ventures and Evantic Capital, valuing the company at about €300 million (~US $350 million).

Founded by the duo behind cybersecurity unicorn Nord Security (Tomas Okmanas and Eimantas Sabaliauskas), Nexos.ai aims to solve what they describe as the ‘enterprise AI adoption crisis’. In their view, many organisations struggle with governance, cost control, fragmentation and security risks when using large-language models (LLMs).

Nexos.ai’s platform comprises two main components: an AI Workspace for employees and an AI Gateway for developers.

The Gateway offers orchestration across 200+ models, unified access, guardrails, cost monitoring and compliance oversight. The Workspace enables staff to work across formats, compare models and collaborate in a secure interface.

The company’s positioning as a neutral intermediary, likened to ‘Switzerland for LLMs’, underscores its mission to allow enterprises to gain productivity with AI without giving up data control or security.

The new funds will be used to extend support for private model deployment, expand into regulated sectors (finance, public institutions), grow across Europe and North America, and deepen product capabilities in routing, model fallback, and observability.

It’s an illustration of how investors are backing infrastructure plays in the enterprise-AI space: not just building new models, but creating the scaffolding for how organisations adopt, govern and deploy them safely.

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Fenland business to close as AI reshapes media work

A Fenland videographer says the rise of AI has forced him to close his business. David Johnson, who runs DMJ-Imagery in Chatteris, will wind up operations in April after client demand collapsed.

He believes companies are turning to AI tools for projects once requiring human filmmakers and editors. Work such as promotional videos, adverts, and scripting has increasingly been replaced by automated content generation.

Johnson said his workload ‘plummeted’ over the past year despite surviving the pandemic. He described AI-made work as lacking ‘passion or emotion’, arguing that human creativity remains an essential component to storytelling.

Despite this, the UK government says AI has vast economic potential, industry groups urge fairer protections for creatives. They argue that existing copyright laws do not adequately safeguard work used to train AI models.

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Is the world ready for AI to rule justice?

AI is creeping into almost every corner of our lives, and it seems the justice system’s turn has finally come. As technology reshapes the way we work, communicate, and make decisions, its potential to transform legal processes is becoming increasingly difficult to ignore. The justice system, however, is one of the most ethically sensitive and morally demanding fields in existence. 

For AI to play a meaningful role in it, it must go beyond algorithms and data. It needs to understand the principles of fairness, context, and morality that guide every legal judgement. And perhaps more challengingly, it must do so within a system that has long been deeply traditional and conservative, one that values precedent and human reasoning above all else. Jet, from courts to prosecutors to lawyers, AI promises speed, efficiency, and smarter decision-making, but can it ever truly replace the human touch? 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI in courts: Smarter administration, not robot judges… yet

Courts across the world are drowning in paperwork, delays, and endless procedural tasks, challenges that are well within AI’s capacity to solve efficiently. From classifying cases and managing documentation to identifying urgent filings and analysing precedents, AI systems are beginning to serve as silent assistants within courtrooms. 

The German judiciary, for example, has already shown what this looks like in practice. AI tools such as OLGA and Frauke have helped categorise thousands of cases, extract key facts, and even draft standardised judgments in air passenger rights claims, cutting processing times by more than half. For a system long burdened by backlogs, such efficiency is revolutionary.

Still, the conversation goes far beyond convenience. Justice is not a production line; it is built on fairness, empathy, and the capacity to interpret human intent. Even the most advanced algorithm cannot grasp the nuance of remorse, the context of equality, or the moral complexity behind each ruling. The question is whether societies are ready to trust machine intelligence to participate in moral reasoning.

The final, almost utopian scenario would be a world where AI itself serves as a judge who is unbiased, tireless, and immune to human error or emotion. Yet even as this vision fascinates technologists, legal experts across Europe, including the EU Commission and the OECD, stress that such a future must remain purely theoretical. Human judges, they argue, must always stay at the heart of justice- AI may assist in the process, but it must never be the one to decide it. The idea is not to replace judges but to help them navigate the overwhelming sea of information that modern justice generates.

Courts may soon become smarter, but true justice still depends on something no algorithm can replicate: the human conscience. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for prosecutors: Investigating with superhuman efficiency

Prosecutors today are also sifting through thousands of documents, recordings, and messages for every major case. AI can act as a powerful investigative partner, highlighting connections, spotting anomalies, and bringing clarity to complex cases that would take humans weeks to unravel. 

Especially in criminal law, cases can involve terabytes of documents, evidence that humans can hardly process within tight legal deadlines or between hearings, yet must be reviewed thoroughly. AI tools can sift through this massive data, flag inconsistencies, detect hidden links between suspects, and reveal patterns that might otherwise remain buried. Subtle details that might escape the human eye can be detected by AI, making it an invaluable ally in uncovering the full picture of a case. By handling these tasks at superhuman speed, AI could also help accelerate the notoriously slow pace of legal proceedings, giving prosecutors more time to focus on strategy and courtroom preparation. 

More advanced systems are already being tested in Europe and the US, capable of generating detailed case summaries and predicting which evidence is most likely to hold up in court. Some experimental tools can even evaluate witness credibility based on linguistic cues and inconsistencies in testimony. In this sense, AI becomes a strategic partner, guiding prosecutors toward stronger, more coherent arguments. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for lawyers: Turning routine into opportunity

The adoption of AI and its capabilities might reach their maximum when it comes to the work of lawyers, where transforming information into insight and strategy is at the core of the profession. AI can take over repetitive tasks: reviewing contracts, drafting documents, or scanning case files, freeing lawyers to focus on the work that AI cannot replace, such as strategic thinking, creative problem-solving, and providing personalised client support. 

AI can be incredibly useful for analysing publicly available cases, helping lawyers see how similar situations have been handled, identify potential legal opportunities, and craft stronger, more informed arguments. By recognising patterns across multiple cases, it can suggest creative questions for witnesses and suspects, highlight gaps in the evidence, and even propose potential defence strategies. 

AI also transforms client communication. Chatbots and virtual assistants can manage routine queries, schedule meetings, and provide concise updates, giving lawyers more time to understand clients’ needs and build stronger relationships. By handling the mundane, AI allows lawyers to spend their energy on reasoning, negotiation, and advocacy.

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

Balancing promise with responsibility

AI is transforming the way courts, prosecutors, and lawyers operate, but its adoption is far from straightforward. While it can make work significantly easier, the technology also carries risks that legal professionals cannot ignore. Historical bias in data can shape AI outputs, potentially reinforcing unfair patterns if humans fail to oversee its use. Similarly, sensitive client information must be protected at all costs, making data privacy a non-negotiable responsibility. 

Training and education are therefore crucial. It is essential to understand not only what AI can do but also its limits- how to interpret suggestions, check for hidden biases, and decide when human judgement must prevail. Without this understanding, AI risks being a tool that misleads rather than empowers. 

The promise of AI lies in its ability to free humans from repetitive work, allowing professionals to focus on higher-value tasks. But its power is conditional: efficiency and insight mean little without the ethical compass of the human professionals guiding it.

Ultimately, the justice system is more than a process. It is about fairness, empathy, and moral reasoning. AI can assist, streamline, and illuminate, but the responsibility for decisions, for justice itself, remains squarely with humans. In the end, the true measure of AI’s success in law will be how it enhances human judgement, not how it replaces it.

So, is the world ready for AI to rule justice? The answer remains clear. While AI can transform how justice is delivered, the human mind, heart, and ethical responsibility must remain at the centre. AI may guide the way, but it cannot and should not hold the gavel.

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