Interdisciplinary approaches Archives | Page 118 of 190

UK government AI tool recovers £500m lost to fraud

A new AI system developed by the UK Cabinet Office has helped reclaim nearly £500m in fraudulent payments, marking the government’s most significant recovery of public funds in a single year.

The Fraud Risk Assessment Accelerator analyses data across government departments to identify weaknesses and prevent scams before they occur.

It uncovered unlawful council tax claims, social housing subletting, and pandemic-related fraud, including £186m linked to Covid support schemes. Ministers stated the savings would be redirected to fund nurses, teachers, and police officers.

Officials confirmed the tool will be licensed internationally, with the US, Canada, Australia, and New Zealand among the first partners expected to adopt it.

The UK announced the initiative at an anti-fraud summit with these countries, describing it as a step toward global cooperation in securing public finances through AI.

However, civil liberties groups have raised concerns about bias and oversight. Previous government AI systems used to detect welfare fraud were found to produce disparities based on age, disability, and nationality.

Campaigners warned that the expanded use of AI in fraud detection risks embedding unfair outcomes if left unchecked.

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Spanish joins Google’s global AI Mode expansion

Google is rapidly expanding AI Mode, its generative AI-powered search assistant. The company has announced that the feature is now rolling out globally in Spanish. Spanish speakers can now interact with AI Mode to ask complex questions that traditional Search handles poorly.

AI Mode has seen swift adoption since its launch earlier this year. First introduced in March, the feature was rolled out to users across the US in May, followed by its first language expansion earlier this month.

Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese were the first languages added, and Spanish now joins the list. Google says more languages will follow soon as part of its global AI Mode rollout.

Google says the feature is designed to work alongside Search, not replace it, offering conversational answers with links to supporting sources. The company has stressed that responses are generated with safety filters and fact-checking layers.

The rollout reflects Google’s broader strategy to integrate generative AI into its ecosystem, spanning Search, Workspace, and Android. AI Mode will evolve with multimodal support and tighter integration with other Google services.

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AI image war heats up as ByteDance unveils Seedream 4.0

ByteDance has unveiled Seedream 4.0, its latest AI-powered image generation model, which it claims outperforms Google DeepMind’s Gemini 2.5 Flash Image. The launch signals ByteDance’s bid to rival leading creative AI tools.

Developed by ByteDance’s Seed division, the model combines advanced text-to-image generation with fast, precise image editing. Internal testing reportedly showed superior prompt accuracy, image alignment, and visual quality compared to US-developed DeepMind’s system.

Artificial Analysis, an independent AI benchmarking firm, called Seedream 4.0 a significant step forward. The model integrates Seedream 3.0’s generation capability with SeedEdit 3.0’s editing tools while maintaining a price of US$30 per 1,000 generations.

ByteDance claims that Seedream 4.0 runs over 10 times faster than earlier versions, enhancing the user experience with near-instant image inference. Early users have praised its ability to make quick, text-prompted edits with high accuracy.

The tool is now available to users in China through Jimeng and Doubao AI apps and businesses via Volcano Engine, ByteDance’s cloud platform. A formal technical report supporting the company’s claims has not yet been released.

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Yale students explore AI through clubs and fellowships

Across Yale, membership in AI-focused clubs such as the Yale Artificial Intelligence Association (AIA), Yale Artificial Intelligence Alignment (YAIA) and Yale Artificial Intelligence Policy Initiative (YAIPI) has grown rapidly.

The organisations offer weekly meetings, projects, and fellowships to deepen understanding of AI’s technical, ethical, and societal implications.

Each club has a distinct focus. YAIA addresses long-term risks and safety, while the AIA emphasises student-led technical projects and community-building. YAIPI explores ethics, governance and policy, particularly for students without technical backgrounds.

Fellowships, paper-reading groups and collaborative projects allow members to engage deeply with AI issues.

Membership numbers reflect this surge: AIA’s mailing list now includes around 400 students, YAIPI has over 200 subscribers, and YAIA admitted 25 students to its safety fellowship. The clubs are also beginning to collaborate, combining technical expertise with policy knowledge for joint projects.

Professional schools and faculty-led initiatives, including law and business-focused AI groups, further expand opportunities for student engagement.

AI’s role in classrooms remains varied. Some professors encourage experimentation with generative tools, while others enforce stricter rules, particularly in humanities courses. Yale’s Executive Committee warned first-year students against using AI platforms like ChatGPT without attribution.

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Gemini brings conversational AI to Google TV

Google has launched Gemini for TV, bringing conversational AI to the living room. The update builds on Google TV and Google Assistant, letting viewers chat naturally with their screens to discover shows, plan trips, or even tackle homework questions.

Instead of scrolling endlessly, users can ask Gemini to find a film everyone will enjoy or recap last season’s drama. The AI can handle vague requests, like finding ‘that new hospital drama,’ and provide reviews before you press play.

Gemini also turns the TV into an interactive learning tool. From explaining why volcanoes erupt to guiding kids through projects, it offers helpful answers with supporting YouTube videos for hands-on exploration.

Beyond schoolwork, Gemini can help plan meals, teach new skills like guitar, or brainstorm family trips, all through conversational prompts. Such features make the TV a hub for entertainment, education, and inspiration.

Gemini is now available on the TCL QM9K series, with rollout to additional Google TV devices planned for later this year. Google says additional features are coming soon, making TVs more capable and personalised.

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AI-powered OSIA aims to boost student success rates in Cameroon

In Cameroon, where career guidance often takes a back seat, a new AI platform is helping students plan their futures. Developed by mathematician and AI researcher Frédéric Ngaba, OSIA offers personalised academic and career recommendations.

The platform provides a virtual tutor trained on Cameroon’s curricula, offering 400 exam-style tests and psychometric assessments. Students can input grades and aspirations, and the system builds tailored academic profiles to highlight strengths and potential career paths.

OSIA already has 13,500 subscribers across 23 schools, with plans to expand tenfold. Subscriptions cost 3,000 CFA francs for locals and €10 for students abroad, making it an affordable solution for many families.

Teachers and guidance counsellors see the tool as a valuable complement, though they stress it cannot replace human interaction or emotional support. Guidance professionals insist that social context and follow-up remain key to students’ development.

The Secretariat for Secular Private Education of Cameroon has authorized OSIA to operate. Officials expect its benefits to scale nationwide as the government considers a national AI strategy to modernise education and improve success rates.

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Waterloo study links blood patterns to spinal injury prognosis

Routine hospital blood samples could help predict spinal cord injury severity and even mortality, a University of Waterloo study has found. Researchers used machine learning to analyse millions of data points from over 2,600 patients.

The models identified patterns in routine blood measurements, including electrolytes and immune cells, collected during the first three weeks following injury. These patterns forecast recovery outcomes even when neurological exams were unreliable or impossible.

Researchers said the models were accurate in predicting injury severity and mortality as early as one to three days after admission. Accuracy improved further as more blood test data became available over time.

Unlike MRI or fluid-based biomarkers, which are not always accessible, routine blood tests are low-cost and widely available in hospitals. The approach could help clinicians make more informed and faster treatment decisions.

The team says its findings could reshape early critical care for spinal cord injuries. Predicting severity sooner could guide resource allocation and prioritise patients needing urgent intervention.

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Genetic experts and Microsoft design AI assistant to streamline sequencing

Microsoft, Drexel University, and the Broad Institute have developed a generative AI assistant to support genome sequencing. The study in ACM Transactions on Interactive Intelligent Systems demonstrates how AI can accelerate searching, filtering, and synthesising data in rare disease diagnosis.

Whole genome sequencing often takes weeks and yields a diagnosis in fewer than half of cases. Analysts must decide which unsolved cases to revisit as new research appears. The AI assistant flags cases for reanalysis and compiles new gene and variant data into a clear, usable format.

The team interviewed 17 genetics professionals to map workflows and challenges before co-designing the prototype. Sessions focused on problems such as data overload, slow collaboration, and difficulty prioritising unsolved cases, helping ensure the tool addressed real-world pain points.

The prototype enables collaborative sensemaking, allowing users to edit and verify AI-generated content. It offers flexible filtering to surface the most relevant evidence while keeping a comprehensive view, saving time and improving decision-making.

Microsoft-led researchers plan to test the assistant in real-world environments to measure its effect on diagnostic yield and workflow efficiency. They emphasise that success will depend on collaboration among developers, genetic experts, and system designers to build trustworthy and explainable tools.

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Americans fear AI will weaken creativity and human connections

A new Pew Research Center survey shows Americans are more worried than excited about AI shaping daily life. Half of adults say AI’s rise will harm creative thinking and meaningful relationships, while only small shares see improvements.

Many want greater control over its use, even as most are willing to let it assist with routine tasks.

The survey of over 5,000 US adults found 57% consider AI’s societal risks to be high, with just a quarter rating the benefits as significant. Most respondents also doubt their ability to recognise AI-generated content, although three-quarters believe being able to tell human from machine output is essential.

Americans remain sceptical about AI in personal spheres such as religion and matchmaking, instead preferring its application in heavy data tasks like weather forecasting, fraud detection and medical research.

Younger adults are more aware of AI than older generations, yet they are also more likely to believe it will undermine creativity and human connections.

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UN reports at a crossroads

As world leaders gather in New York for the UN General Assembly, an unusual but timely question is being raised. In his recent blog, ‘Should the United Nations continue writing reports?’, Jovan Kurbalija argues that while some reports are vital, such as those exposing the role of tech companies in conflict zones, many have become little more than bureaucratic rituals with limited impact.

The UN Secretary-General himself has voiced concerns that the endless production of papers risks overshadowing the organisation’s true mission. The debate reveals two opposing views.

On one side, critics say reports distract from the UN’s core purpose of convening nations, negotiating compromises, and resolving crises. They point to history, such as the failed Treaty of Versailles, to warn that diplomacy loses its strength when buried under data and ‘scientific’ prescriptions.

Reports, they argue, cannot prevent wars or build trust without political will. Worse still, the drafting process is often more about avoiding offence than telling the truth, blurring the line between reporting and negotiation.

Defenders, however, insist that UN reports remain essential. They provide legitimacy, establish a shared baseline of facts, and create informal spaces for diplomacy even before formal talks begin.

During deep geopolitical divides and mistrust in institutions, independent UN analysis could be one of the few remaining tools to anchor global debates. While AI is increasingly capable of churning out facts and summaries, Kurbalija notes that human insight is still needed to read between the lines and grasp nuance.

The way forward, he suggests, is not to abandon reports altogether but to make them fewer, sharper, and more focused on action. Instead of endless PDFs, the UN should channel its energy back into mediation, dialogue, and the intricate craft of diplomacy. In a world drowning in information but starving for wisdom, reports should illuminate choices, not replace the art of negotiation.

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