Human rights principles Archives | Page 107 of 162

Researchers develop advanced AI system to assess tumour relapse risk

Researchers at Universitat Rovira i Virgili have developed an AI model that predicts breast cancer recurrence more accurately than existing systems. The tool combines clinical data with MRI scans to detect subtle patterns signalling relapse risk.

Unlike traditional models, the AI also examines surrounding tissue, breast symmetry, and tumour texture variations. The system automatically segments MRI scans, extracts key features, and combines them with tumour type, hormone receptor status, and malignancy data.

Using a neural network model known as TabNet, it can interpret complex data while maintaining transparency in how predictions are made.

Tests on over 500 patients showed the model achieves high accuracy and reliably identifies those at real risk of relapse. Researchers say this reduces false negatives and helps ensure those needing further treatment are not overlooked.

Key indicators influencing predictions include tumour texture, breast symmetry, and hormone receptor status.

The AI model is scalable, interpretable, and suitable for clinical use without requiring costly or invasive genetic tests. Part of the European Bosomshield project, the research shows AI’s potential to make oncology more personalised and predictive.

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Amelia brings heads-up guidance to Amazon couriers

Amazon unveiled ‘Amelia’ AI-powered smart glasses for delivery drivers with a built-in display and camera, paired to a vest with a photo button, now piloting with hundreds of drivers across more than a dozen partners.

Designed for last-mile efficiency, Amelia can auto-shut down when a vehicle moves to prevent distraction, includes a hardware kill switch for the camera and mic, and aims to save about 30 minutes per 8–10-hour shift by streamlining repetitive tasks.

Initial availability is planned for the US market and the rest of North America before global expansion, with Amazon emphasizing that Amelia is custom-built for drivers, though consumer versions aren’t ruled out. Pilots involve real routes and live deliveries to customers.

Amazon also showcased a warehouse robotic arm to sort parcels faster and more safely, as well as an AI orchestration system that ingests real-time and historical data to predict bottlenecks, propose fixes, and keep fulfillment operations running smoothly.

The move joins a broader push into wearables from Big Tech. Unlike Meta’s consumer-oriented Ray-Ban smart glasses, Amelia targets enterprise use, promising faster package location, fewer taps, and tighter integration with Amazon’s delivery workflow.

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Alibaba pushes unified AI with Quark Chat and wearables

Quark, Alibaba’s consumer AI app, has launched an AI Chat Assistant powered by Qwen3 models, merging real-time search with conversational reasoning so users can ask by text or voice, get answers, and trigger actions from a single interface.

On iOS and Android, you can tap ‘assistant’ in the AI Super Box or swipe right to open chat, then use prompts to summarise pages, draft replies, or pull sources, with results easily shared to friends, Stories, or outside the app.

Beyond Q&A, the assistant adds deep search, photo-based problem-solving, and AI writing, while supporting multimodal tasks like photo editing, AI camera, and phone calls. Forthcoming MCP integrations will expand agent execution across Alibaba services.

Quark AI Glasses opened pre-sale in China on October 24 via Tmall with a list price of 4,699 RMB before coupons or memberships, deliveries starting in phases from December, and 1 RMB reservations available on JD.com and Douyin.

Powered by Qwen for hands-free assistance, translation, and meeting transcription, the glasses emphasise lightweight ergonomics, long battery life, and quality imaging, with bundles, accessories, and prescription lens options to broaden fit and daily use.

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AI leaders call for a global pause in superintelligence development

More than 850 public figures, including leading computer scientists Geoffrey Hinton and Yoshua Bengio, have signed a joint statement urging a global slowdown in the development of artificial superintelligence.

The open letter warns that unchecked progress could lead to human economic displacement, loss of freedom, and even extinction.

An appeal that follows growing anxiety that the rush toward machines surpassing human cognition could spiral beyond human control. Alan Turing predicted as early as the 1950s that machines might eventually dominate by default, a view that continues to resonate among AI researchers today.

Despite such fears, global powers still view the AI race as essential for national security and technological advancement.

Tech firms like Meta are also exploiting the superintelligence label to promote their most ambitious models, while leaders such as OpenAI’s Sam Altman and Microsoft’s Mustafa Suleyman have previously acknowledged the existential risks of developing systems beyond human understanding.

The statement calls for an international prohibition on superintelligence research until there is a broad scientific consensus on safety and public approval.

Its signatories include technologists, academics, religious figures, and cultural personalities, reflecting a rare cross-sector demand for restraint in an era defined by rapid automation.

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‘Wicked’ AI data scraping: Pullman calls for regulation to protect creative rights

Author Philip Pullman has publicly urged the UK government to intervene in what he describes as the ‘wicked’ practice of AI firms scraping authors’ works for training models. Pullman insists that writing is more than data, it is creative labour, and authors deserve protection.

Pullman’s intervention comes amid increasing concern in the literary community about how generative AI models are built using large volumes of existing texts, often without permission or clear compensation. He argues that uninhibited scraping undermines the rights of creators and could hollow out the foundations of culture.

He has called on UK policymakers to establish clearer rules and safeguards over how AI systems access, store, and reuse writers’ content. Pullman warns that without intervention, authors may lose control over their work, and the public could be deprived of authentic, quality literature.

His statement adds to growing pressure from writers, unions and rights bodies calling for better transparency, consent mechanisms and a balance between innovation and creator rights.

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Zuckerberg to testify in landmark trial over social media’s harm to youth

A US court has mandated that Mark Zuckerberg, CEO of Meta, must appear and testify in a high-stakes trial about social media’s effects on children and adolescents. The case, brought by parents and school districts, alleges that platforms contributed to mental health harms by deploying addictive algorithms and weak moderation in their efforts to retain user engagement.

The plaintiffs argue that platforms including Facebook, Instagram, TikTok and Snapchat failed to protect young users, particularly through weak parental controls and design choices that encourage harmful usage patterns. They contend that the executives and companies neglected risks in favour of growth and profits.

Meta had argued that such platforms are shielded from liability under US federal law (Section 230) and that high-level executives should not be dragged into testimony. But the judge rejected those defenses, saying that hearing directly from executives is integral to assessing accountability and proving claims of negligence.

Legal experts say the decision marks an inflection point: social media’s architecture and leadership may now be put under the microscope in ways previously reserved for sectors like tobacco and pharmaceuticals. The trial could set a precedent for how tech chief executives are held personally responsible for harms tied to platform design.

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CMC pegs JLR hack at £1.9bn with 5,000 firms affected

JLR’s cyberattack is pegged at £1.9bn, the UK’s costliest on record. Production paused for five weeks from 1 September across Solihull, Halewood, and Wolverhampton. CMC says 5,000 firms were hit, with full recovery expected by January 2026.

JLR is restoring manufacturing in phases and declined to comment on the estimate. UK dealer systems were intermittently down, orders were cancelled or delayed, and suppliers faced uncertainty. More than half of the losses fall on JLR; the remainder hits its supply chain and local economies.

The CMC classed the incident as Category 3 on its five-level scale. Chair Ciaran Martin warned organisations to harden critical networks and plan for disruption. The CMC’s assessment draws on public data, surveys, and interviews rather than on disclosed forensic evidence.

Researchers say costs hinge on the attack type, which JLR has not confirmed. Data theft is faster to recover than ransomware; wiper malware would be worse. A claimed hacker group linked to earlier high-profile breaches is unverified.

The CMC’s estimate excludes any ransom, which could add tens of millions of dollars. Earlier this year, retail hacks at M&S, the Co-op, and Harrods were tagged Category 2. Those were pegged at £270m–£440m, below the £506m cited by some victims.

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Suzanne Somers lives on in an AI twin

Alan Hamel says he’s moving ahead with a ‘Suzanne AI Twin’ to honor Suzanne Somers’ legacy. The project mirrors plans the couple discussed for decades. He shared an early demo at a recent conference.

Hamel describes the prototype as startlingly lifelike. He says side-by-side, he can’t tell real from AI. The goal is to preserve Suzanne’s voice, look, and mannerisms.

Planned uses include archival storytelling, fan Q&As, and curated appearances. The team is training the model on interviews, performances, and writings. Rights and guardrails are being built in.

Supporters see a new form of remembrance. Critics warn of deepfake risks and consent boundaries. Hamel says fidelity and respect are non-negotiable.

Next steps include wider testing and a controlled public debut. Proceeds could fund causes Suzanne championed. ‘It felt like talking to her,’ Hamel says.

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UN advances human rights-focused economic metrics

The UN is developing new economic indicators to complement gross domestic product (GDP) as a measure of progress. A 14-member expert group, appointed by the UN Secretary-General, is creating metrics that reflect social well-being, equality, and environmental sustainability.

Their proposals, to be presented to the UN General Assembly in 2026, could reshape how governments assess success and guide future economic policies.

UN agencies, in collaboration with Chile, Honduras, Mexico, and Spain, are working to embed human rights into these new metrics. The initiative focuses on areas such as economic inequality, public social spending, environmental impact, gender equality, and labour rights, aiming to shift economic systems toward fairness, participation, and care for the planet.

Deputy High Commissioner for Human Rights, Nada Al-Nashif, emphasised that these efforts are about rethinking economic systems to ensure they measure what truly matters for people and the environment.

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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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