Privacy and data protection

UNESCO launches Beruniy Prize to promote ethical AI innovation

UNESCO and the Uzbekistan Arts and Culture Development Foundation have introduced the UNESCO–Uzbekistan Beruniy Prize for Scientific Research on the Ethics of Artificial Intelligence.

The award, presented at the 43rd General Conference in Samarkand, recognises global leaders whose research and policy efforts promote responsible and human-centred AI innovation. Each laureate received $30,000, a Beruniy medal, and a certificate.

Professor Virgilio Almeida was honoured for advancing ethical, inclusive AI and democratic digital governance. Human rights expert Susan Perry and computer scientist Claudia Roda were recognised for promoting youth-centred AI ethics that protect privacy, inclusion, and fairness.

The Institute for AI International Governance at Tsinghua University in China also received the award for promoting international cooperation and responsible AI policy.

UNESCO’s Audrey Azoulay and Gayane Uemerova emphasised that ethics should guide technology to serve humanity, not restrict it. Laureates echoed the need for shared moral responsibility and global cooperation in shaping AI’s future.

The new Beruniy Prize reaffirms that ethics form the cornerstone of progress. By celebrating innovation grounded in empathy, inclusivity, and accountability, UNESCO aims to ensure AI remains a force for peace, justice, and sustainable development.

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OpenAI unveils Teen Safety Blueprint for responsible AI

OpenAI has launched the Teen Safety Blueprint to guide responsible AI use for young people. The roadmap guides policymakers and developers on age-appropriate design, safeguards, and research to protect teen well-being and promote opportunities.

The company is implementing these principles across its products without waiting for formal regulation. Recent measures include stronger safeguards, parental controls, and an age-prediction system to customise AI experiences for under-18 users.

OpenAI emphasises that protecting teens is an ongoing effort. Collaboration with parents, experts, and young people will help improve AI safety continuously while shaping how technology can support teens responsibly over the long term.

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UNESCO adopts first global ethical framework for neurotechnology

UNESCO has approved the world’s first global framework on the ethics of neurotechnology, setting new standards to ensure that advances in brain science respect human rights and dignity. The Recommendation, adopted by member states and entering into force on 12 November, establishes safeguards to ensure neurotechnological innovation benefits those in need without compromising mental privacy.

Launched in 2019 under Director-General Audrey Azoulay, the initiative builds on UNESCO’s earlier work on AI ethics. Azoulay described neurotechnology as a ‘new frontier of human progress’ that demands strict ethical boundaries to protect the inviolability of the human mind. The framework reflects UNESCO’s belief that technology should serve humanity responsibly and inclusively.

Neurotechnology, which enables direct interaction with the nervous system, is rapidly expanding, with investment in the sector rising by 700% between 2014 and 2021. While medical uses, such as deep brain stimulation and brain–computer interfaces, offer hope for people with Parkinson’s disease or disabilities, consumer devices that read neural data pose serious privacy concerns. Many users unknowingly share sensitive information about their emotions or mental states through everyday gadgets.

The Recommendation calls on governments to regulate these technologies, ensure they remain accessible, and protect vulnerable groups, especially children and workers. It urges bans on non-therapeutic use in young people and warns against monitoring employees’ mental activity or productivity without explicit consent.

UNESCO also stresses the need for transparency and better regulation of products that may alter behaviour or foster addiction.

Developed after consultations with over 8,000 contributors from academia, industry, and civil society, the framework was drafted by an international group of experts led by scientists Hervé Chneiweiss and Nita Farahany. UNESCO will now help countries translate the principles into national laws, as it has done with its 2021 AI ethics framework.

The Recommendation’s adoption, finalised at the General Conference in Samarkand, marks a new milestone in the global governance of emerging technologies.

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OpenAI outlines roadmap for AI safety, accountability and global cooperation

New recommendations have been published by OpenAI for managing rapid advances in AI, stressing the need for shared safety standards, public accountability, and resilience frameworks.

The company warned that while AI systems are increasingly capable of solving complex problems and accelerating discovery, they also pose significant risks that must be addressed collaboratively.

According to OpenAI, the next few years could bring systems capable of discoveries once thought centuries away.

The firm expects AI to transform health, materials science, drug development and education, while acknowledging that economic transitions may be disruptive and could require a rethinking of social contracts.

To ensure safe development, OpenAI proposed shared safety principles among frontier labs, new public oversight mechanisms proportional to AI capabilities, and the creation of a resilience ecosystem similar to cybersecurity.

It also called for regular reporting on AI’s societal impact to guide evidence-based policymaking.

OpenAI reiterated that the goal should be to empower individuals by making advanced AI broadly accessible, within limits defined by society, and to treat access to AI as a foundational public utility in the years ahead.

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India’s AI roadmap could add $500 billion to economy by 2035

According to the Business Software Alliance, India could add over $500 billion to its economy by 2035 through the widespread adoption of AI.

At the BSA AI Pre-Summit Forum in Delhi, the group unveiled its ‘Enterprise AI Adoption Agenda for India’, which aligns with the goals of the India–AI Impact Summit 2026 and the government’s vision for a digitally advanced economy by 2047.

The agenda outlines a comprehensive policy framework across three main areas: talent and workforce, infrastructure and data, and governance.

It recommends expanding AI training through national academies, fostering industry–government partnerships, and establishing innovation hubs with global companies to strengthen talent pipelines.

BSA also urged greater government use of AI tools, reforms to data laws, and the adoption of open industry standards for content authentication. It called for coordinated governance measures to ensure responsible AI use, particularly under the Digital Personal Data Protection Act.

BSA has introduced similar policy roadmaps in other major markets, apart from India, including the US, Japan, and ASEAN countries, as part of its global effort to promote trusted and inclusive AI adoption.

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LIBE backs new Europol Regulation despite data protection and discrimination warnings

The European Parliament’s civil liberties committee (LIBE) voted to endorse a new Europol Regulation, part of the ‘Facilitators Package’, by 59–10 with four abstentions.

Rights groups and the European Data Protection Supervisor had urged MEPs to reject the proposal, arguing the law fuels discrimination and grants Europol and Frontex unprecedented surveillance capabilities with insufficient oversight.

If approved in plenary later this month, the reform would grant Europol broader powers to collect, process and share data, including biometrics such as facial recognition, and enable exchanges with non-EU states.

Campaigners note the proposal advanced without an impact assessment, contrary to the Commission’s Better Regulation guidance.

Civil society groups warn that the changes risk normalising surveillance in migration management. Access Now’s Caterina Rodelli said MEPs had ‘greenlighted the European Commission’s long-term plan to turn Europe into a digital police state’. At the same time, Equinox’s Sarah Chander called the vote proof the EU has ‘abandoned’ humane, evidence-based policy.

EDRi’s Chloé Berthélémy said the reform legitimises ‘unaccountable and opaque data practices’, creating a ‘data black hole’ that undermines rights and the rule of law. More than 120 organisations called on MEPs to reject the text, arguing it is ‘unlawful, unsafe, and unsubstantiated’.

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How GEMS turns Copilot time savings into personalised teaching at scale

GEMS Education is rolling out Microsoft 365 Copilot to cut admin and personalise learning, with clear guardrails and transparency. Teachers spend less time on preparation and more time with pupils. The aim is augmentation, not replacement.

Copilot serves as a single workspace for plans, sources, and visuals. Differentiated materials arrive faster for struggling and advanced learners. More time goes to feedback and small groups.

Student projects are accelerating. A Grade 8 pupil built a smart-helmet prototype, using AI to guide circuitry, code, and documentation. The idea to build functionally moved quickly.

The School of Research and Innovation opened in August 2025 as a living lab, hosting educator training, research partners, and student incubation. A Microsoft-backed stack underpins the campus.

Teachers are co-creating lightweight AI agents for curriculum and analytics. Expert oversight and safety patterns stay central. The focus is on measurable time savings and real-world learning.

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New AI tool helps identify suicide-risk individuals

Researchers at Touro University have found that an AI tool can identify suicide risk that standard diagnostic methods often miss. The study, published in the Journal of Personality Assessment, shows that LLMs can analyse speech to detect patterns linked to perceived suicide risk.

Current assessment methods, such as multiple-choice questionnaires, often fail to capture the nuances of an individual’s experience.

The study used Claude 3.5 Sonnet to analyse 164 participants’ audio responses, examining future self-continuity, a key factor linked to suicide risk. The AI detected subtle cues in speech, including coherence, emotional tone, and detail, which traditional tools overlooked.

While the research focused on perceived risk rather than actual suicide attempts, identifying individuals who feel at risk is crucial for timely intervention. LLM predictions could be used in hospitals, hotlines, or therapy sessions as a new tool for mental health professionals.

Beyond suicide risk, large language models may also help detect other mental health conditions such as depression and anxiety, providing faster, more nuanced insights into patients’ mental well-being and supporting early intervention strategies.

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Material-level AI emerges in MIT–DeRucci sleep science collaboration

MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.

Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.

Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.

Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.

Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.

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Tinder tests AI feature that analyses photos for better matches

Tinder is introducing an AI feature called Chemistry, designed to better understand users through interactive questions and optional access to their Camera Roll. The system analyses personal photos and responses to infer hobbies and preferences, offering more compatible match suggestions.

The feature is being tested in New Zealand and Australia ahead of a broader rollout as part of Tinder’s 2026 product revamp. Match Group CEO Spencer Rascoff said Chemistry will become a central pillar in the app’s evolving AI-driven experience.

Privacy concerns have surfaced as the feature requests permission to scan private photos, similar to Meta’s recent approach to AI-based photo analysis. Critics argue that such expanded access offers limited benefits to users compared to potential privacy risks.

Match Group expects a short-term financial impact, projecting a $14 million revenue decline due to Tinder’s testing phase. The company continues to face user losses despite integrating AI tools for safer messaging, better profile curation and more interactive dating experiences.

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