Sustainable development Archives | Page 2 of 304

EU lawmakers challenge confidentiality rules on data centre emissions data

A group of 35 Members of the European Parliament has called on the European Commission to review confidentiality rules affecting public access to environmental data from data centres. The request focused on the disclosure of information related to emissions, energy use, and water consumption.

According to reporting by Investigate Europe, the disputed wording was linked to proposals submitted during consultations by Microsoft and DIGITALEUROPE. The clause was later incorporated into the EU Energy Efficiency Directive and limits disclosure of certain information related to individual data centres.

Critics argue that the measure may reduce transparency regarding the environmental impact of expanding digital infrastructure. Some lawmakers and advocacy groups have also raised questions about compatibility with transparency principles under the Aarhus Convention. Reports said critics believe the rules reduce scrutiny of the environmental impact linked to expanding AI and cloud infrastructure.

The lawmakers called on the European Commission to reconsider the provision and publish more detailed environmental reporting data. The issue has contributed to broader discussions in the EU regarding environmental accountability and oversight of digital infrastructure.

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NASA develops AI system to track harmful algal blooms using satellite data

NASA researchers have developed an AI system designed to combine satellite datasets to improve monitoring of harmful algal blooms.

The system uses self-supervised machine learning to analyse patterns across five satellite missions and instruments, helping researchers identify blooms in regions including western Florida and Southern California. According to researchers, the approach could support environmental monitoring and earlier identification of marine health risks.

Harmful algal blooms can affect ecosystems, wildlife, coastal environments, and public health. In parts of Florida, blooms caused by Karenia brevis have disrupted coastal communities for decades, while toxic blooms along the US West Coast have harmed dolphins, sea lions, and other marine species.

NASA researchers said the system combines information from multiple satellite observation technologies. Instruments such as the PACE satellite and the TROPOMI monitoring instrument help identify algae characteristics, including pigment, fluorescence, and biological activity across ocean surfaces.

The researchers said the self-supervised AI model identifies relationships between datasets without relying heavily on manually labelled data. The system was trained using satellite observations collected during 2018 and 2019 before being tested on later bloom events.

Michelle Gierach of NASA’s Jet Propulsion Laboratory said the system could help environmental agencies identify areas for water sampling earlier during bloom development. Researchers said combining satellite observations with field data may improve coordination between scientific and public health teams.

The project team said the system is being expanded using additional coastal and freshwater datasets.

Why does it matter?

NASA’s development highlights growing use of AI and satellite intelligence for environmental monitoring and climate-related risk management. Harmful algal blooms are becoming an increasing concern for coastal economies, fisheries, tourism, biodiversity, and public health systems worldwide.

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Study examines local warming effects linked to data centre expansion

New research suggests that expanding data centre infrastructure may contribute to localised warming effects similar to urban heat islands.

The study, published in the Journal of Engineering for Sustainable Buildings and Cities, examined several data centres in the Phoenix metropolitan area and found measurable increases in surrounding air temperatures. Researchers reported temperature increases ranging from approximately 1.5 to 4 degrees Fahrenheit within areas located downwind from facilities.

Data centres generate waste heat through cooling systems used to support high-performance computing operations.

According to the researchers, large data centre campuses can generate concentrated thermal output associated with high energy consumption.

The findings come as global demand for AI, cloud computing, and digital services continues to drive the construction of new facilities across the US and other regions. Northern Virginia, Phoenix, and several European locations have become major hubs for hyperscale infrastructure development.

The researchers said the observed effects differ from traditional urban heat islands because of continuous cooling activity and continuous energy consumption. The study noted that clusters of facilities may produce cumulative effects that require further investigation.

The researchers discussed potential implications for energy demand, infrastructure planning, and surrounding communities. The study said elevated local temperatures could influence cooling demand and related environmental conditions.

Furthermore, scientists stressed that additional peer-reviewed research remains necessary to determine the long-term climatic significance of large-scale data centre expansion.

Why does it matter?

The findings reflect growing scrutiny surrounding the environmental footprint of AI infrastructure. Data centres already face criticism over electricity consumption, water usage, and grid pressure. The possibility that concentrated AI infrastructure may also influence local temperatures introduces another dimension to debates surrounding sustainable digital expansion.

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ITU Radiocommunication Bureau outlines key aspects future connectivity

ITU Radiocommunication Bureau has highlighted the critical role of radio-frequency spectrum in ensuring digital resilience, emphasising that reliable connectivity underpins essential services such as healthcare, transport and emergency communications.

According to the Bureau, resilience begins before disruption through coordinated spectrum management, international standards and regulatory frameworks. These systems enable wireless networks and satellite services to operate reliably and avoid harmful interference.

The organisation stressed that growing demand for connectivity, including 5G, satellite broadband and AI-enabled systems, increases pressure on spectrum resources. Technical standards and global coordination are therefore essential to maintain interoperability and support innovation.

ITU also pointed to the importance of satellite systems and early warning technologies in responding to climate risks and disasters. Future decisions at the World Radiocommunication Conference 2027 in China will further shape how resilient digital infrastructure develops globally.

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UN calls for AI-driven transformation of future cities

UN organisations and urban experts have called on governments, city leaders, and the private sector to accelerate the use of AI and digital technologies to shape the future of urban life. The appeal was made during the 3rd UN Virtual Worlds Day held in Geneva.

With 70 percent of the global population expected to live in urban areas by 2050, discussions focused on the emergence of an ‘AI-enabled citiverse’ combining AI, digital twins and spatial intelligence to improve planning, infrastructure management and quality of life in cities.

Participants outlined five strategic priorities, including strengthening inclusive AI systems, improving data-driven decision-making, and ensuring responsible economic and social development. Emphasis was also placed on global cooperation and the need for common standards to guide digital urban transformation.

The conference also highlighted key risks, including governance gaps, trust and safety concerns, and widening digital divides. A joint briefing warned that the benefits of AI-driven urban systems must be distributed fairly, including to developing economies and underserved communities.

Why does it matter?

The integration of AI into urban systems signals a structural shift in how cities are designed, managed and experienced. As urbanisation accelerates globally, AI-enabled infrastructure could significantly improve efficiency, resilience and sustainability, but also risks deepening inequality if governance and access remain uneven across regions.

United Nations organisations and urban experts have called on governments, city leaders and the private sector to accelerate the use of AI and digital technologies in shaping the future of urban life. The appeal was made during the 3rd UN Virtual Worlds Day held in Geneva.

The conference also highlighted key risks such as governance gaps, trust and safety concerns, and widening digital divides. A joint briefing warned that the benefits of AI-driven urban systems must be distributed fairly, including to developing economies and underserved communities.

Why does it matter?

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Australian Senate opens inquiry into AI data centres

The Australian Greens announced that the Senate has established a parliamentary inquiry into AI data centres, according to its official statement. The move follows growing concern over the rapid expansion of energy-intensive AI infrastructure and limited federal oversight.

The inquiry will examine environmental, economic and social impacts, including energy and water use, effects on communities, and the regulatory framework governing AI. It aims to better understand how these facilities influence resources and infrastructure.

Greens Senator Sarah Hanson-Young said communities have raised concerns about pressure on energy supply, water availability and environmental protection. She also called for greater transparency and parliamentary scrutiny of agreements involving global technology companies.

The party warned against repeating past regulatory failures and stressed the need for accountability as AI infrastructure expands. The inquiry is expected to gather input from affected communities and stakeholders across Australia.

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China AI ethics draft translated by Georgetown’s CSET

The Center for Security and Emerging Technology (CSET), a policy research organisation within Georgetown University’s Walsh School of Foreign Service, has published an English translation of China’s draft trial measures on ethics reviews for AI technology.

The translated draft says the measures would apply to AI-related scientific and technological activities conducted within China that may pose ethical risks to human health, human dignity, the ecological environment, public order, or sustainable development. It covers universities, research institutions, medical and health institutions, enterprises, and other organisations involved in AI research and development.

Under the draft, organisations with the necessary conditions would be expected to establish AI technology ethics committees, while others could commission specialised ethics service centres to conduct reviews. Review applications would need to include details on the AI activity, algorithms, data sources, data cleaning methods, testing and evaluation, expected applications, user groups, risk assessments, and risk prevention plans.

The review process would focus on fairness and impartiality; controllability and trustworthiness; transparency and explainability; accountability and traceability; and whether the activity has scientific and social value. Committees or service centres would generally have 30 days to approve, reject, or request revisions to an application.

Higher-risk activities would require expert reconsideration. The draft list includes human-computer fusion systems that strongly affect behaviour, psychological or emotional states, or health; AI models and systems able to mobilise public opinion or channel social consciousness; and highly autonomous automated decision-making systems used in safety or personal health-risk scenarios.

Approved AI activities would also be subject to follow-up reviews, generally at intervals of no more than 12 months, while activities requiring expert reconsideration would be subject to follow-up reviews at least every 6 months. Emergency ethics reviews would normally have to be completed within 72 hours.

CSET notes that China released a final trial version of the regulation in April 2026, which it is now translating. The newly published draft translation therefore provides insight into the regulatory structure that preceded the final version, including committee-based ethics review, external service centres, expert reconsideration, and oversight roles for the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and other departments.

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China outlines AI and energy integration plan

The Chinese National Energy Administration, alongside the National Development and Reform Commission, the Ministry of Industry and Information Technology and the National Data Administration, has released an action plan to promote mutual development between AI and the energy sector.

The plan focuses on ensuring a reliable energy supply for computing infrastructure while using AI to support energy transformation. It outlines 29 key tasks covering green energy use, efficient coordination between power and computing, and expanding high-value AI applications in energy.

Authorities aim to significantly improve the clean energy supply for AI computing and strengthen AI adoption in energy by 2030. The strategy also seeks to enhance data use and drive innovation in AI models within the energy sector.

The agencies will establish coordination mechanisms across government and industry to support implementation and innovation. The initiative reflects a broader push to integrate AI and energy systems more deeply in China.

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Australia expands collaboration efforts in key science and technology areas

The Australian Government Department of Industry, Science and Resources has announced $6.2 million in funding for nine international projects under round two of the Global Science and Technology Diplomacy Fund (GSTDF).

The programme supports collaboration, innovation and commercialisation in priority technology areas. The selected projects focus on AI, advanced manufacturing, quantum technologies and hydrogen, with several initiatives applying AI to areas such as robotics, satellite networks and ocean forecasting.

According to the department, Australian researchers will work with international partners across Asia-Pacific, with projects spanning fields from healthcare to environmental monitoring and space technologies.

The funding reflects a broader effort to deepen international cooperation and advance strategic technologies, with collaborations involving countries including Singapore, Vietnam, Japan, Malaysia, New Zealand, and South Korea, supporting innovation linked to Australia.

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Saudi initiative attempts to link AI with sustainability goals

A new AI-enabled sustainability platform developed with support from the World Economic Forum aims to strengthen partnerships across sectors. The initiative is led by Saudi Arabia’s Ministry of Economy and Planning as part of its wider development agenda.

The platform, known as SUSTAIN, uses AI to match organisations with potential partners and opportunities. It is designed to connect government, businesses, academia, and civil society more efficiently and to help move sustainability projects from planning to implementation.

Developers say the system could accelerate collaboration and support the delivery of higher-impact sustainability projects. Official estimates suggest it could help unlock partnerships worth up to $20 billion in Saudi Arabia and significantly more across the wider region.

The initiative forms part of broader efforts to advance long-term sustainability goals through more coordinated action and practical uses of AI. The project is being developed in Saudi Arabia and presented as a tool to strengthen cross-sector cooperation rather than a stand-alone sustainability programme.

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