UNESCO backs new AI law and sustainability chair in Singapore

UNESCO has welcomed the launch of a new Chair in AI Law and Sustainability at the National University of Singapore’s Centre for International Law, aimed at advancing research and policy on AI governance, the rule of law and sustainable AI development.

Led by inaugural Chairholder Dr Jon Truby, the initiative will promote research, policy guidance and regional cooperation on AI governance, the rule of law and the environmental impact of AI systems.

Truby said governments face the challenge of adopting AI without weakening accountability in public decision-making. He argued that people should know when AI is used, understand decisions affecting them, challenge those decisions and have access to effective remedies when systems cause harm.

The Chair will also examine AI’s physical infrastructure, including energy use, carbon emissions, water consumption, data centres, hardware and electronic waste. According to Truby, responsible AI governance must address these impacts throughout the technology’s lifecycle.

International legal issues will also be a priority, including state responsibility, liability, due diligence, cross-border harms and international cooperation. Truby said governments should prepare for potential AI-related emergencies as they do for other global crises.

Based at NUS, the Chair intends to strengthen Asia’s contribution to global AI norms. Its work will address regional concerns including access to computing hardware, language diversity, data sovereignty, public services, climate vulnerability and differences in regulatory capacity.

The initiative’s ASEAN Network Series will bring together scholars, officials and institutions across the region. Visiting researcher programmes, support for junior scholars and open-access publications are intended to broaden participation in debates on AI law and sustainability.

Truby described UNESCO’s Recommendation on the Ethics of Artificial Intelligence as a bridge between ethical principles and enforceable legal frameworks. He said implementation should include clear institutional responsibilities, auditing mechanisms, avenues for redress and assessments of AI’s contribution to the UN Sustainable Development Goals.

Over the coming years, the Chair plans to produce policy briefs, research publications, workshops, conferences and open-access resources for governments, regulators, international organisations and legal professionals. Its work will also connect with the International Law Association Committee on AI and Technology Law.

In the longer term, the Chair aims to position AI sovereignty, diplomacy and sustainability as core elements of AI governance. Truby argued that effective regulation will depend on who controls AI infrastructure, whose values shape technical standards and how environmental impacts are managed throughout the AI lifecycle.

Why does it matter?

The new Chair strengthens Asia’s role in shaping international AI governance by linking legal accountability with environmental sustainability. As governments move from developing AI principles to implementing enforceable rules, research that connects law, technology and sustainability is likely to play an increasingly important role.

The initiative also reflects a broader shift in AI governance. Rather than focusing only on ethics or innovation, policymakers are increasingly addressing AI’s environmental footprint, cross-border legal implications and institutional accountability as interconnected challenges requiring international cooperation.

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UNESCO promotes inclusive digital transformation at WSIS Forum 2026

UNESCO used the WSIS Forum 2026 to promote a vision of digital transformation centred on inclusion, multilingualism, human rights and the public interest, arguing that emerging technologies should remain accessible, ethical and beneficial for everyone.

A central theme of UNESCO’s participation was multilingual digital inclusion. The organisation argued that people should be able to access digital services, create knowledge, preserve cultural heritage and participate online using their own languages and writing systems.

Together with ICANN, UNESCO launched a joint policy brief on Universal Acceptance, calling on governments, industry and the technical community to ensure that all domain names and email addresses work seamlessly across different languages and writing systems.

UNESCO also reaffirmed the importance of human rights-centred governance for AI and emerging technologies. Discussions focused on embedding ethics into digital transformation, strengthening international cooperation on AI governance and preparing for the transition to quantum-safe technologies through transparent, inclusive and rights-based policy approaches.

The organisation also highlighted the role of libraries and other trusted public institutions in narrowing the digital divide by expanding access to digital services, digital skills and reliable information.

Why does it matter?

UNESCO’s participation at WSIS Forum 2026 highlights a vision of digital transformation that extends beyond technological innovation to include cultural diversity, inclusion and human rights. Rather than treating AI, internet governance and emerging technologies as purely technical issues, the organisation argues they should be shaped by public-interest principles that ensure everyone can participate in the digital economy.

By linking multilingual internet access, ethical AI, quantum governance and trusted public institutions, UNESCO is promoting a comprehensive approach to digital governance that could influence future international cooperation as governments implement the outcomes of WSIS+20 and the Global Digital Compact.

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MIT develops safer way to detect harmful AI models

MIT researchers have developed a new auditing method to detect whether generative AI models have been adapted to produce child sexual abuse material without generating illegal content during testing.

The technique was developed with Thorn, a child safety nonprofit focused on protecting children from sexual abuse and exploitation online.

Traditional AI safety testing often involves prompting a model and checking its outputs, but that approach cannot be used for child sexual abuse material, which is illegal to generate in the US and many other jurisdictions.

MIT said the problem has become more urgent as open-source generative AI models become easier to download, adapt and redistribute.

The researchers’ method examines internal changes during fine-tuning, rather than testing the model by generating images.

In tests, the auditing procedure identified model variants adapted to generate child sexual abuse material with 100% accuracy.

MIT said hosting platforms could use the method to flag unsafe models, block uploads or remove harmful adaptations before they spread more widely online.

The researchers also plan to test whether the approach can detect harmful capabilities in a larger set of model variants and in base models before adaptation.

Why does it matter?

The research addresses a serious AI safety blind spot: some harmful model capabilities cannot be tested safely or legally by generating outputs. A non-generative auditing method could give hosting platforms, auditors and law enforcement a safer way to detect models adapted for child sexual abuse material before they are distributed. It also points to a broader governance challenge around open-source generative AI: platforms may need scalable tools to assess harmful adaptations without exposing reviewers to illegal or traumatic content.

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Saudi Arabia launches AI tool for national data insights

Saudi Arabia’s Ministry of Economy and Planning has launched the beta version of INSAIGHTS, an agentic AI tool integrated into the Data Saudi Platform. The system is designed to improve how users access, analyse, and interact with national economic and social data.

INSAIGHTS allows users to convert questions into instant insights and analytics by drawing on more than 7,500 indicators available through the platform. The tool aims to support decision-makers, researchers, analysts and the public with faster access to reliable information for data-driven decisions.

The launch forms part of Saudi Arabia’s wider digital transformation agenda under Vision 2030 and the National Transformation Program. The Ministry plans to continue expanding the tool’s capabilities while using emerging technologies to improve transparency, innovation and user experiences across its digital ecosystem.

Why does it matter?

The INSAIGHTS highlights Saudi Arabia’s growing focus on AI as a tool to improve public data accessibility and strengthen evidence-based decision-making. By combining AI capabilities with extensive national datasets, the platform could help organisations and individuals extract insights more efficiently.

The initiative also demonstrates how governments are increasingly adopting agentic AI systems to enhance digital services and economic planning. As the technology develops, platforms like INSAIGHTS may become important models for using AI to improve transparency, research capabilities and public-sector innovation.

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Music industry introduces labels for AI-generated songs

Major music industry organisations have announced a voluntary labelling system to help listeners understand when AI has been used in songs.

Groups including the RIAA, IFPI, the Recording Academy, SAG-AFTRA, IMPALA, WIN, A2IM and the Human Artistry Campaign back the initiative.

The labels will distinguish between ‘AI-generated’ and ‘AI-assisted’ music.

An ‘AI-generated’ label will apply when most or nearly all of the creative elements in a recording are artificial, such as an AI-generated lead vocal, instrumental performance or a song created from a prompt.

An ‘AI-assisted’ label will apply when humans mainly create a track but use AI for some expressive elements.

Industry leaders said the aim is to give fans clearer information about how music is made, while protecting human creativity, authorship and artistic intent.

The move comes as streaming platforms face rising volumes of AI-made content and low-quality uploads.

Deezer said in April that AI-generated tracks accounted for 44% of all new music uploaded to its platform each day.

Spotify also removed around 75 million spam tracks in 2025, as platforms increase efforts to identify low-quality, fraudulent or unauthorised content.

Why does it matter?

The labelling initiative shows how the music industry is trying to build transparency around AI use without waiting for formal regulation. Clear labels could help listeners distinguish fully synthetic music from human-led work that uses AI as a tool. They may also support copyright, attribution and platform-governance efforts as streaming services face growing volumes of AI-generated tracks, recycled content and spam uploads.

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Philippines uses AI and satellites to strengthen food security

The Philippine Department of Agriculture and the Philippine Statistics Authority are partnering to use AI and satellite technology to improve agricultural data collection, strengthen national food security and support more informed policymaking. Agriculture Secretary Francisco Tiu Laurel Jr. stated that enhanced data sharing between the two agencies would enable policymakers to make more informed decisions on food production, logistics and supply.

The Philippine Statistics Authority has begun piloting AI and satellite imagery to estimate crop production, building on approaches already used in several countries. National Statistician Claire Dennis Mapa said the technology would become more accurate as the Department of Agriculture expands field verification to validate satellite-generated data. The agencies also agreed to broaden the use of digital technologies in agricultural statistics and strengthen the capacity of local government units.

Agriculture Secretary Tiu Laurel also renewed calls to rebuild the department’s network of agricultural extension workers, describing them as its missing ‘boots on the ground’. Expanding the field workforce would support near real-time data collection, improve production forecasts and enable faster responses to challenges affecting farmers and fisherfolk. He also welcomed this year’s national census, saying updated population data would improve food demand forecasting.

The partnership aims to shift the Department of Agriculture from reactive to proactive food security management. Updated agricultural and population data will help the government better estimate future food demand, refine production targets and improve budget planning. According to Tiu Laurel, data should help policymakers anticipate future challenges rather than simply document past events in the Philippines.

Why does it matter?

The initiative illustrates how AI and Earth observation technologies are becoming practical tools for agricultural governance. More timely and accurate data can help governments improve production planning, respond more quickly to climate-related disruptions and strengthen long-term food security.

The partnership also highlights that digital transformation depends on both technology and institutional capacity. By combining AI, satellite imagery and field verification through agricultural extension workers, the Philippines is seeking to build a more reliable and responsive agricultural information system that could serve as a model for other countries facing similar food security challenges.

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Malaysia launches consultations on AI Governance Bill

Malaysia’s Ministry of Digital has launched public engagement sessions on its proposed AI Governance Bill, marking the next step towards establishing the country’s first dedicated legal framework for AI governance.

The sessions, organised by the National AI Office throughout July 2026, aim to explain the proposed framework, encourage dialogue and gather feedback from government agencies, industry, businesses, academia and the public.

According to the Ministry, the AI Governance Bill will become Malaysia’s first horizontal legal framework dedicated specifically to AI governance. It is intended to establish common principles that complement existing legislation and create a more coherent governance framework across sectors.

The proposed legislation adopts a risk-based approach, recognising that AI-related risks can arise throughout a system’s lifecycle. Governance responsibilities would be allocated according to the roles and level of control exercised by different parties.

The Ministry also highlighted incident reporting, appropriate safeguards and regulatory sandboxes as key mechanisms for supporting responsible innovation and strengthening public trust.

Digital Minister Gobind Singh Deo told Parliament on 24 June that the bill would not regulate AI-generated content directly. Existing laws and regulatory frameworks would continue to govern illegal content.

A nationwide consultation through the Unified Public Consultation portal was expected to begin on 10 July 2026, providing another channel for individuals, businesses and organisations to submit feedback before the legislation is finalised.

The Ministry said the process is intended to be transparent, inclusive and consultative, supporting Malaysia’s ambition to become a trusted and globally competitive AI hub under the Towards an AI Nation 2030 roadmap.

Why does it matter?

The proposed AI Governance Bill would provide Malaysia with a single legal framework for AI governance rather than relying on sector-specific rules. By combining a risk-based approach with regulatory sandboxes, incident reporting and public consultation, the government is seeking to balance innovation with legal certainty and public trust.

The initiative also reflects a broader regional trend, with governments across Asia increasingly introducing dedicated AI governance frameworks to support investment while preparing for the safe deployment of increasingly capable AI systems.

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CERN scientists see AI shaping next-generation collider research

CERN researchers are expanding the use of AI across particle physics, deploying AI both during experiments and in the analysis of collision data.

According to CERN physicists, AI systems are already being used to help identify potentially significant particle collisions in real time, enabling researchers to process the enormous volumes of data generated by the Large Hadron Collider (LHC).

Scientists say AI’s role is expected to grow as CERN upgrades the LHC to the High-Luminosity LHC and develops plans for the Future Circular Collider (FCC), a proposed successor that is expected to begin operation in the 2040s. Beyond analysing experimental data, researchers are exploring how AI could support the design of detectors, optimise collider components and improve operational efficiency.

According to CERN physicist Maurizio Pierini, new AI techniques, including neural-network-based trigger systems and anomaly detection, could help identify unexpected events that existing theories do not predict. Researchers also expect AI to improve the precision of data analysis and assist with the design and operation of future particle physics experiments.

Why does it matter?

CERN’s work illustrates how AI is becoming part of the scientific research infrastructure rather than simply a tool for analysing results after experiments. The technology is increasingly being integrated into the design, operation and interpretation of large-scale scientific facilities, with potential implications for how future discoveries are made across research disciplines.

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AI for Good Global Summit 2026 concludes with a focus on implementation

The AI for Good Global Summit concluded after four days of discussions highlighting the practical deployment of AI across healthcare, agriculture, mobility, education, creative industries and public policy.

The programme also explored the technologies and infrastructure supporting AI deployment, including quantum technologies, robotics, international standards and digital infrastructure.

The closing programme featured the Robotics for Good Youth Challenge Grand Finale 2026, an ITU-led UN robotics competition for young people aged 10 to 18. Teams from more than 50 countries competed over four days to develop robotic solutions addressing this year’s theme of food security.

Venezuela won both competition categories, with participants using open-source software and hardware to design, build and programme robots focused on food security.

The final day also featured discussions on AI governance, standards and inclusion. A morning panel examined the underrepresentation of women in AI development and decision-making, bringing together representatives from standards bodies, industry, civil society, telecommunications and ITU networks.

Speakers argued that gender equity should be treated as a core element of AI standardisation rather than a secondary consideration, linking women’s leadership to education, research, technical standards and institutional decision-making.

Youth engagement remained another key theme. In the Youth Zone, participants took part in an AI safety challenge in which they role-played as developers designing safeguards for new AI applications, exploring security principles, ethical risks and responsible AI governance.

The AI for Good Global Summit also explored longer-term questions about AI, culture and education. Futurist Ray Kurzweil discussed the future trajectory of AI, while Arizona State University President Michael Crow and musician will.i.am, ITU Goodwill Ambassador for the AI Skills Coalition, examined AI’s growing role in education and future workforce skills.

The Centre Stage programme concluded with a presentation by Galaxy Corporation CEO Yong-ho Choi on the convergence of AI, robotics and entertainment, including a performance featuring both humans and robots.

The 2026 AI for Good Global Summit concluded with a clear message that the future of AI depends not only on technological progress but also on standards, skills, inclusion and international cooperation to support responsible deployment.

Why does it matter?

The 2026 AI for Good Global Summit reflected a broader shift in AI governance from discussing high-level principles to addressing implementation. Across healthcare, education, robotics, standards and digital infrastructure, the focus was increasingly on how AI can be deployed responsibly in practice rather than whether it should be adopted.

The summit also highlighted the growing importance of international standards, youth engagement and inclusive participation in shaping AI’s future. By bringing together governments, industry, researchers and civil society, the event reinforced the view that responsible AI will depend as much on cooperation and capacity-building as on technological innovation.

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UNESCO study highlights AI gender gap in South Asia

UNESCO has published the Outlook Study on Artificial Intelligence and Gender in South Asia, the first regional assessment of women’s participation in AI across Bangladesh, Bhutan, India, Maldives, Nepal and Sri Lanka.

Developed by the UNESCO Women for Ethical AI (W4EAI) South Asia Chapter, the report examines women’s representation across the AI ecosystem, from education and research to employment and entrepreneurship, highlighting the structural barriers that limit leadership opportunities.

The study finds that greater access to higher education has not translated into equal participation in AI-related fields. Women account for only around one-third of STEM students across the region and remain significantly underrepresented in computing, engineering and AI disciplines.

Although women contribute to AI research, they hold only 26% of corresponding or lead authorship positions, reflecting limited representation in research leadership. In the labour market, women remain concentrated in lower-value AI roles, while technical positions involving AI model development continue to be dominated by men.

Female entrepreneurs also face persistent barriers, including limited access to investment, technical expertise and institutional support.

Drawing on education and labour statistics, bibliometric analysis, LinkedIn Economic Graph data and interviews with women working in AI, UNESCO concludes that AI could either reinforce existing inequalities or become a catalyst for greater gender equality, depending on policy choices.

The report calls for greater investment in inclusive AI education, skills development, leadership opportunities and ethical AI governance to ensure women can participate fully in shaping the region’s AI future.

Why does it matter?

The report shows that gender inequality in AI extends well beyond education, affecting research leadership, employment, entrepreneurship and access to decision-making roles across South Asia. As countries invest in AI-driven economic growth, broader participation will be important not only for fairness but also for innovation and the development of AI systems that reflect diverse perspectives.

The findings also reinforce the growing link between AI governance and inclusion. Building ethical and trustworthy AI depends not only on technical safeguards but also on ensuring that women have equal opportunities to shape how AI technologies are designed, developed and deployed.

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