Content Policy

AI teaching leaves Staffordshire students frustrated

Students at the University of Staffordshire in the UK have criticised a coding course after discovering much of the teaching was delivered through AI-generated slides and voiceovers.

Participants in the government-funded apprenticeship programme said they felt deprived of knowledge and frustrated that the course relied heavily on automated materials.

Concerns arose when learners noticed inconsistencies in language, suspicious file names, and abrupt changes in voiceover accents during lessons.

Students reported raising these issues with university staff, but the institution maintained the use of AI, asserting it supported academic standards while remaining ethical and responsible.

Critics argue that AI teaching diminishes engagement and reduces the opportunity to acquire practical skills needed for career development.

Experts suggest students supplement AI-driven courses with hands-on learning and critical thinking to ensure the experience remains valuable and relevant to their professional goals.

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Italy closes Google probe after consent changes

Italy has closed its investigation into Google after the company agreed to adjust how it requests user consent for personal data use. Regulators had accused Google of presenting unclear and potentially misleading choices when connecting users to its services.

The authority said Google will now offer clearer explanations about how consent affects data processing. Updates will outline where personal information may be combined or used across the company’s wider service ecosystem.

Officials launched the probe in July 2024, arguing Google’s approach could amount to aggressive commercial practice. Revised consent flows were accepted as sufficient remedies, leading to the closure of the case without financial penalties.

The Italian competition regulator indicated that transparency improvements were central to compliance. Similar scrutiny continues across Europe as regulators assess how large technology firms obtain permission for extensive data handling.

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New NVIDIA model drives breakthroughs in conservation biology

Researchers have introduced a biology foundation model that can recognise over a million species and understand relationships across the animal and plant kingdoms.

BioCLIP 2 was trained on one of the most extensive biological datasets ever compiled, allowing it to identify traits, cluster organisms and reveal patterns that support conservation efforts.

A model that relies on NVIDIA accelerated computing instead of traditional methods and demonstrates what large-scale biological learning can achieve.

Training drew on more than two hundred million images that cover hundreds of thousands of taxonomic classes. The AI model learned how species fit within wider biological hierarchies and how traits differ across age, gender and related groups without explicit guidance.

It even separated diseased leaves from healthy samples, offering a route to improved monitoring of ecosystems and agricultural resilience.

Scientists now plan to expand the project by utilising wildlife digital twins that simulate ecological systems in controlled environments.

Researchers will be able to study species interactions and test scenarios instead of disturbing natural habitats. The approach opens possibilities for richer ecological research and could offer the public immersive ways to view biodiversity from the perspective of different animals.

BioCLIP 2 is available as open-source software and has already attracted strong global interest. Its capabilities indicate a shift toward more advanced biological modelling powered by accelerated computing, providing conservationists and educators with new tools to address long-standing knowledge gaps.

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GPT‑5 expands research speed and idea generation for scientists

AI technology is increasingly helping scientists accelerate research across fields including biology, mathematics, physics, and computer science. Early GPT‑5 studies show it can synthesise information, propose experiments, and aid in solving long-standing mathematical problems.

Experts note the technology expands the range of ideas researchers can explore and shortens the time to validate results.

Case studies demonstrate tangible benefits: in biology, GPT‑5 helped identify mechanisms in human immune cells within minutes, suggesting experiments that confirmed the results.

In mathematics, GPT‑5 suggested new approaches, and in optimisation, it identified improved solutions later verified by researchers.

These advances reinforce human-led research rather than replacing it.

OpenAI for Science emphasises collaboration between AI and experts. GPT‑5 excels at conceptual literature review, exploring connections across disciplines, and proposing hypotheses for experimental testing.

Its greatest impact comes when researchers guide the process, breaking down problems, critiquing suggestions, and validating outcomes.

Researchers caution that AI does not replace human expertise. Current models aid speed, idea generation, and breadth, but expert oversight is essential to ensure reliable and meaningful scientific contributions.

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Google launches Nano Banana Pro image model

Google has launched Nano Banana Pro, a new image generation and editing model built on Gemini 3 Pro. The upgrade expands Gemini’s visual capabilities inside the Gemini app, Google Ads, Google AI Studio, Vertex AI and Workspace tools.

Nano Banana Pro focuses on cleaner text rendering, richer world knowledge and tighter control over style and layout. Creators can produce infographics, diagrams and character consistent scenes, and refine lighting, camera angle or composition with detailed prompts.

The AI model supports higher resolution visuals, localised text in multiple languages and more accurate handling of complex scripts. Google highlights uses in marketing materials, business presentations and professional design workflows, as partners such as Adobe integrate the model into Firefly and Photoshop.

Users can try Nano Banana Pro through Gemini with usage limits, while paying customers and enterprises gain extended access. Google embeds watermarking and C2PA-style metadata to help identify AI-generated images, foregrounding safety and transparency around synthetic content.

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Legal action targets Uber AI pay model

Uber has been confronted with legal demands to halt the use of its AI-driven pay systems after accusations that they have reduced driver incomes.

Worker Info Exchange, a non-profit foundation, alleges that the ride-hailing firm breached European data protection laws by varying pay through algorithms.

Research conducted in partnership with Oxford University indicates many drivers earn less per hour since Uber introduced dynamic pricing in 2023, which adjusts pay and fares based on demand.

The findings suggest that the average hourly wage has stagnated and declined in real terms compared to previous models.

The foundation argues that Uber trained its algorithms using drivers’ historical personal data and demands a return to transparent, human-monitored pay setting.

If the company does not comply, WIE plans to bring collective proceedings before Amsterdam’s district court under Dutch collective redress laws.

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Creative industries seek rights protection amid AI surge

British novelists are raising concerns that AI could replace their work, with nearly half saying the technology could ‘entirely replace’ them. The MCTD survey of 332 authors found deep unease about the impact of generative tools trained on vast fiction datasets.

About 97% of novelists expressed intense negativity towards the idea of AI writing complete novels, while around 40% said their income from related work had already suffered. Many authors have reported that their work has been used to train large language models without their permission or payment.

While 80 % agreed AI offers societal benefits, authors called for better protections, including copyright reform and consent-based use of their work. MCTD Executive Director Prof. Gina Neff stressed that creative industries are not expendable in the AI race.

A UK government spokesperson said collaboration between the AI sector and creative industries is vital, with a focus on innovation and protection for creators. But writers say urgent action is needed to ensure their rights are upheld.

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EU unveils vision for a modern justice system

The European Commission has introduced a new Digital Justice Package designed to guide the EU justice systems into a fully digital era.

A plan that sets out a long-term strategy to support citizens, businesses and legal professionals with modern tools instead of outdated administrative processes. Central objectives include improved access to information, stronger cross-border cooperation and a faster shift toward AI-supported services.

The DigitalJustice@2030 Strategy contains fourteen steps that encourage member states to adopt advanced digital tools and share successful practices.

A key part of the roadmap focuses on expanding the European Legal Data Space, enabling legislation and case law to be accessed more efficiently.

The Commission intends to deepen cooperation by developing a shared toolbox for AI and IT systems and by seeking a unified European solution to cross-border videoconferencing challenges.

Additionally, the Commission has presented a Judicial Training Strategy designed to equip judges, prosecutors and legal staff with the digital and AI skills required to apply the EU digital law effectively.

Training will include digital case management, secure communication methods and awareness of AI’s influence on legal practice. The goal is to align national and EU programmes to increase long-term impact, rather than fragmenting efforts.

European officials argue that digital justice strengthens competitiveness by reducing delays, encouraging transparency and improving access for citizens and businesses.

The package supports the EU’s Digital Decade ambition to make all key public services available online by 2030. It stands as a further step toward resilient and modern judicial systems across the Union.

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OpenAI unveils new global group chat experience

Since yesterday, OpenAI has launched group chats worldwide for all ChatGPT users on Free, Go, Plus and Pro plans instead of limiting access to small trial regions.

The upgrade follows a pilot in Japan and New Zealand and marks a turning point in how the company wants people to use AI in everyday communication.

Group chats enable up to twenty participants to collaborate in a shared space, where they can plan trips, co-write documents, or settle disagreements through collective decision-making.

ChatGPT remains available as a partner that contributes when tagged, reacts with emojis and references profile photos instead of taking over the conversation. Each participant keeps private settings and memory, which prevents personal information from being shared across the group.

Users start a session by tapping the people icon and inviting others directly or through a link. Adding someone later creates a new chat, rather than altering the original, which preserves previous discussions intact.

OpenAI presents the feature as a way to turn the assistant into a social environment rather than a solitary tool.

The announcement arrives shortly after the release of GPT-5.1 and follows the introduction of Sora, a social app that encourages users to create videos with friends.

OpenAI views group chats as the first step toward a more active role for AI in real human exchanges where people plan, create and make decisions together.

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Meta to block under-16 Australians from Facebook and Instagram early

Meta is beginning to block users in Australia who it believes are under 16 from using Instagram, Facebook, and Threads, starting 4 December, a week ahead of the government-mandated social media ban.

Last week, Meta sent in-app messages, emails and texts warning affected users to download their data because their accounts will soon be removed. As of 4 December, the company will deactivate existing accounts and block new sign-ups for users under 16.

To appeal the deactivation, targeted users can undergo age verification by providing a ‘video selfie’ to prove they are 16 or older, or by presenting a government-issued ID. Meta says it will ‘review and improve’ its systems, deploying AI-based age-assurance methods to reduce errors.

Observers highlight the risks of false positives in Meta’s age checks. Facial age estimation, conducted through partner company Yoti, has known margins of error.

The enforcement comes amid Australia’s world-first law that bars under-16s from using several major social media platforms, including Instagram, Snapchat, TikTok, YouTube, X and more.

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