Sustainable development

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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Coca-Cola enhances its AI-powered Christmas ad to fix last year’s visual flaws

Coca-Cola has released an improved AI-generated Christmas commercial after last year’s debut campaign drew criticism for its unsettling visuals.

The latest ‘Holidays Are Coming’ ads, developed in part by San Francisco-based Silverside, showcase more natural animation and a wider range of festive creatures, instead of the overly lifelike characters that previously unsettled audiences.

The new version avoids the ‘uncanny valley’ effect that plagued 2024’s ads. The use of generative AI by Coca-Cola reflects a wider advertising trend focused on speed and cost efficiency, even as creative professionals warn about its potential impact on traditional jobs.

Despite the efficiency gains, AI-assisted advertising remains labour-intensive. Teams of digital artists refine the content frame by frame to ensure realistic and emotionally engaging visuals.

Industry data show that 30% of commercials and online videos in 2025 were created or enhanced using generative AI, compared with 22% in 2023.

Coca-Cola’s move follows similar initiatives by major firms, including Google’s first fully AI-generated ad spot launched last month, signalling that generative AI is now becoming a mainstream creative tool across global marketing.

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How Google uses AI to support teachers and inspire students

Google is redefining education with AI designed to enhance learning, rather than replace teachers. The company has unveiled new tools grounded in learning science to support both educators and students, aiming to make learning more effective, efficient and engaging.

Through its Gemini platform, users can follow guided learning paths that encourage discovery rather than passive answers.

YouTube and Search now include conversational features that allow students to ask questions as they learn, while NotebookLM can transform personal materials into quizzes or immersive study aids.

Instructors can also utilise Google Classroom’s free AI tools for lesson planning and administrative support, thereby freeing up time for direct student engagement.

Google emphasises that its goal is to preserve the human essence of education while using AI to expand understanding. The company also addresses challenges linked to AI in learning, such as cheating, fairness, accuracy and critical thinking.

It is exploring assessment models that cannot be easily replicated by AI, including debates, projects, and oral examinations.

The firm pledges to develop its tools responsibly by collaborating with educators, parents and policymakers. By combining the art of teaching with the science of AI-driven learning, Google seeks to make education more personal, equitable and inspiring for all.

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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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Spain receives EU approval for €700 million cleantech manufacturing scheme

The European Commission has approved a €700 million Spanish plan to expand clean technology manufacturing capacity in line with the Clean Industrial Deal. The measure supports strategic investments that will boost Spain’s role in the EU’s transition towards a net-zero economy.

A scheme that provides direct grants for projects that add production capacity in net-zero technologies and their key components.

Open to companies across Spain until 2028, the initiative aims to strengthen competitiveness and reduce dependence on imported fossil fuels while advancing renewable energy, hydrogen, and decarbonisation technologies.

Executive Vice-President Teresa Ribera stated that the plan will enhance sustainability and industrial growth while maintaining fair market conditions.

An approval that follows the Clean Industrial Deal State Aid Framework, which enables member states to accelerate the rollout of clean technologies and manufacturing across the EU.

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Naver expands physical AI ambitions with $690 million GPU investment

South Korean technology leader Naver is deepening its AI ambitions through a $690 million investment in graphics processing units from 2025.

A move that aims to strengthen its AI infrastructure and drive the development of physical AI, a field merging digital intelligence with robotics, logistics, and autonomous systems.

Beyond its internal use, Naver plans to monetise its expanded computing power by offering GPU-as-a-Service to clients across sectors, creating new revenue opportunities aligned with its AI ecosystem.

Chief Executive Choi Soo-yeon described physical AI as the firm’s next growth pillar, combining robotics, data, and generative AI to reshape both digital and industrial environments. The company already holds a significant share of the global robotics operating system market, underlining its technological maturity.

An investment that marks a strategic shift from software-based AI to infrastructure-driven intelligence, positioning Naver as a leader in integrating AI with real-world applications.

As global competition intensifies, Naver’s model of coupling high-performance computing with robotics innovation signals the emergence of South Korea as a centre for applied AI technology.

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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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AI brain atlas reveals unprecedented detail in MRI scans

Researchers at University College London have developed NextBrain, an AI-assisted brain atlas that visualises the human brain in unprecedented detail. The tool links microscopic tissue imaging with MRI, enabling rapid and precise analysis of living brain scans.

NextBrain maps 333 brain regions using high-resolution post-mortem tissue data, which is combined into a digital 3D model with the aid of AI. The atlas was created over the course of six years by dissecting, photographing, and digitally reconstructing five human brains.

AI played a crucial role in aligning microscope images with MRI scans, ensuring accuracy while significantly reducing the time required for manual labelling. The atlas detects subtle changes in brain sub-regions, such as the hippocampus, crucial for studying diseases like Alzheimer’s.

Testing on thousands of MRI scans demonstrated that NextBrain reliably identifies brain regions across different scanners and imaging conditions, enabling detailed analysis of ageing patterns and early signs of neurodegeneration.

All data, tools, and annotations are openly available through the FreeSurfer neuroimaging platform. The public release of NextBrain aims to accelerate research, support diagnosis, and improve treatment for neurological conditions worldwide.

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Microsoft Elevate expands AI skills training across the UAE

Microsoft has expanded its Microsoft Elevate initiative in the UAE, aiming to equip one million people with AI skills by the end of the decade. The programme is training over 250,000 students and staff, plus 55,000 government employees, to prepare the UAE workforce for an AI-driven future.

Partnerships with educational institutions and nonprofits are central to the initiative. Collaborations with organisations such as GEMS and INJAZ UAE are embedding AI skills into schools, training 10,000 teachers and over 150,000 students.

Higher education institutions, including MBZUAI, UAE University, and the Higher Colleges of Technology, are also participating to advance AI literacy, research, and digital skills across the academic community.

Government employees are a key focus, with 55,000 federal staff set to receive AI training through specialised courses developed with G42 and delivered via the JAHIZ platform. Leadership programmes with INSEAD train senior officials and executives, enhancing strategic skills and promoting responsible AI use.

Microsoft Elevate is closing the UAE’s AI skills gap and expanding opportunities for students, educators, and public servants. The programme combines technical and leadership training to strengthen the UAE’s talent pipeline and global AI leadership.

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