The UN Environment Assembly on Friday approved its first-ever resolution to address the environmental aspects of Artificial Intelligence (AI), but it did not include a provision to monitor AI systems across their lifecycle. Experts say this approach is essential to understand AI’s water, power and critical minerals consumption.
The resolution proposed by Kenya aims to harness “the opportunities and benefits of artificial intelligence systems in support of the environment and by minimizing its environmental impacts”.
It also requests the UN Environment Programme (UNEP) to produce a report on the “environmental benefits, risks and impacts of artificial intelligence”.
As negotiations progressed over the week in Nairobi, the draft resolution on AI had called for UNEP’s executive director to explore environmental benefits, risks and impacts of artificial intelligence “systems across their lifecycle”.
However, while governments including Kenya, Norway, Colombia and the European Union supported such wording, annotated draft texts showed that Saudi Arabia, Russia and the United Arab Emirates wanted it to be deleted.
When the final resolution was gavelled on Friday, all trace of the AI lifecycle had been removed from the text. References to AI’s water and energy consumption – which featured in previous draft texts – were also removed.
“We cannot talk about sustainable AI without addressing the full lifecycle, from the traceability of critical minerals, to the water used in data centres, to how much renewable energy is being redirected from developing countries to power AI systems in wealthier regions,” said Faith Munyalo, Kenya’s contact point on AI.
Munyalo said that while the adoption of the resolution is an important first step, UNEA must now move forward in future negotiations to address the “blind spots” and deliver stronger language and clearer commitments on lifecycle accountability.
“Sustainability must be built into AI from extraction to disposal, otherwise we risk repeating the same patterns of inequity seen in earlier technological transitions,” she told Climate Home News.
No direct finance expected
As the negotiations reached mid-way point on Wednesday, the AI resolution was on the brink of collapse, essentially over finance, which Saudi Arabia and Iran insisted should primarily flow from developed to developing countries while the UK and the EU argued funding should come from all sources.
Finally, countries landed on a compromise that avoids any obligation for wealthy nations to directly finance AI capacity in the Global South. All countries instead are encouraged to “enhance partnerships” that can mobilise funding, alongside “increased investment, including from the private sector and philanthropy” in AI that supports sustainable development.
AI is finding greater uses in environmental circles, and in developing countries it is already being deployed, boosting funding needs. For example, Sierra Leone in its new NDC climate plan needs almost $7 million, including from donor countries, to build an AI-based climate and weather forecasting system to improve resilience. Also, in Kenya, AI is helping conservationists monitor forest degradation, launch reforestation and predict carbon storage capacity in new forest areas.
Kenya’s Munyalo said most data centres are concentrated in developed countries while Africa lacks the expertise and finance to develop its own AI data systems. A lack of direct funding promises puts the burden back on developing countries and could undermine environmental projects like these, she added.
AI good or bad for energy transition?
Somya Joshi, research director at the Stockholm Environment Institute (SEI), said AI has critical impacts both for climate and biodiversity and needs to be designed in ways that don’t “replicate the same mistakes we made before with extractive technology transitions”.
The debate going forward will need to be informed by science and the environmental impacts along the entire AI value chain, she said, including for water, electricity, critical minerals and rare earths to make semi-conductor chips, as well as pollution and what happens to AI systems at the end of their life.
Joshi said there is a need to prevent growing power demand from AI to reinforce dependency on fossil fuels, which would undermine the clean energy transition.
UN Secretary-General António Guterres earlier this year made a call for Big Tech to power all data centres with 100% renewables by 2030.
Data centres accounted for about 1.5% of the world’s electricity consumption in 2024. But this figure is set to more than double by 2030 as tech giants continue to build out the infrastructure needed to support their power-hungry AI technologies.
While renewable energy sources – combined with batteries – are expected to supply half of the additional electricity, increased demand from data centres will be a “significant” driver of growth for fossil gas and coal-fired generation until the end of this decade, according to the International Energy Agency (IEA).
Geopolitics limit Nairobi results
The resolution on AI was largely seen by observers as a win for the UNEA, which played out in a tense political environment that limited steps forward on a range of key environmental issues.
The US rejected the outcomes, decrying what it called “climate change theatre”, in line with the denial of climate science by the administration of President Donald Trump and his efforts to thwart climate action.
Behind the scenes, oil-rich Saudi Arabia and Türkiye – host of the COP31 climate talks next year – pushed to water down wording on climate change including the science of melting glaciers.
This rejection of well-established evidence elicited strong criticism from small island nations Fiji and Barbados, as well as the European Union and Australia, in the final session of the conference. Speaking at the closing plenary, the EU delegate said the bloc had arrived at UNEA-7 with high hopes for the environment and multilateralism but have to come to terms with the fact that the Assembly could only achieve good results in some resolutions “and less in others”.
There was also disappointment over a weak resolution on mining and transition minerals, which agreed only on further talks around international co-operation instead of setting up an expert group to identify new instruments to make supply chains greener and more transparent as proposed by Colombia and Oman.
However, fears that some member states would use UNEA as an opportunity to reopen the mandate to negotiate a global treaty on plastic pollution did not come to pass, according to Andrés del Castillo, Senior Attortney at the Center for International Environmental Law (CIEL).
Talks on a new pact were suspended in August as they were unable to reach agreement with fossil fuel-producing countries blocking proposed caps on plastic production – a major market for petrochemicals. They will resume in February with the election of a new chair.
Del Castillo pointed to the ministerial declaration adopted in Nairobi on Friday, which reaffirms countries’ “shared commitment to engaging constructively and actively, with a sense of urgency and solidarity, to conclude the [plastics] negotiations”.
The post UN adopts first-ever resolution on AI and environment, but omits lifecycle appeared first on Climate Home News.
UN adopts first-ever resolution on AI and environment, but omits lifecycle
Climate Change
Early warning systems are saving lives in Central Asia
In recent years, the monsoon season in Pakistan has taken a new and dangerous turn.
July and August typically bring high levels of rainfall across the country, and while flooding isn’t uncommon, the extent and severity could be readily predicted.
These patterns have now changed. In 2022, extreme rainfall swept Pakistan and huge swathes of the country were under water. Sindh province experienced levels of rain 508% above average for the time of year.
Extreme weather in Pakistan is becoming the norm. The past 15 years have brought widespread flooding, loss of life and billions in financial costs. A post-disaster report, produced by the Pakistan Government, stated that the 2022 floods were “a wake-up call for systemic changes to address the underlying vulnerabilities to natural hazards”, citing the country’s lack of climate-resilient infrastructure.
But heavy rainfall is only one of the water-related issues that Pakistan faces. In a country with huge geographical diversity, from sweltering deserts to freezing mountain tops, the water stresses are equally as varied. In many regions the key concern is a lack of reliable, clean water that can be used to grow crops and feed families.
We must invest in early warning systems to tackle crises like Kenya’s drought
The risks of the Indus
The Indus River plays a critical role in Pakistan. This major artery travels almost the entire length of the country, an estimated 2,000 km, from the Himalayas to the Arabian Sea. It is a crucial economic lever, supporting nearly 90% of Pakistan’s food production and 25% of its overall GDP. What happens to this river – both human and natural impacts – has huge consequences for the rest of the country.
The government and civil society agree that urgent action is required to protect Pakistan’s fragile water resources. A new adaptation project – SAFER Pakistan – is seeking to address these concerns with solutions that can be used to solve similar climate-related issues elsewhere.
The US$ 10 million project is led by ICIMOD, an intergovernmental research centre, alongside UNICEF, and financed by the Adaptation Fund. The intention is to tackle six key issues that people face in the Indus Basin: cryosphere risks, drying springs, groundwater, pollution, unsustainable water use, and community resilience.
In practice this means exploring different solutions that put communities in control of their own adaptive capacity. One solution under development is the use of community early warning systems.
Pakistan’s ‘monster disaster’ brings climate compensation into focus
A warning sign
According to researchers, early warning systems “aim to empower affected communities against hazards and help them to sufficiently prepare before disasters strike.”
The northern provinces of Pakistan – Gilgit-Baltistan and Khyber Pakhtunkhwa – are the main focus for testing these systems. In this mountainous region the Indus is fed by thousands of glaciers which sustain water flow during the dry season. At the same time, increased temperatures and unpredictable weather patterns are changing how these glaciers behave, leading to avalanches, increased snowmelt, and landslides.
As glaciers start to melt due to climate change, they can form large lakes high up on the mountain that can pose a serious threat to the communities living below. When these natural dams fail, huge quantities of water come careening down the mountain, a phenomenon called glacial lake outburst flood.
The SAFER project is exploring how to use local knowledge and observations of the mountain to ensure people know how and when to evacuate when these outbursts occur. This human intelligence will be combined with data from remote sensors to save lives and livelihoods. In total, over 435,000 people will be impacted by the project.
“Early warning systems often serve as the backbone of a multi-faceted response to reduce climate disaster risk,” commented Mikko Ollikainen, head of the Adaptation Fund. “But local information is often just as valuable as the real-time data you receive from sensors or satellites,” he added.
Climate disasters challenge right to safe and adequate housing
Shaping an effective response
Community early warning systems – together with other preventive adaptation measures – are proving a popular solution to extreme weather events.
A separate adaptation project in the mountains of Central Asia is grappling with the same problem of glacial flooding. In this case, with US$6.5 million in funding from the Adaptation Fund, UNESCO has been implementing early warning systems across Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan for the past five years, with considerable success.
Diana Aripkhanova, a project officer at UNESCO, and based in Kazakhstan, told Climate Home that glacier lake outburst floods “represent an increasing climate-related hazard across the high mountain regions of Central Asia”.
“These events can trigger destructive floods and debris flows that affect downstream communities, infrastructure, and livelihoods,” she added.
The project utilises real-time data drawn from weather monitoring stations with community preparedness to shape a fast and effective response to life-threatening flooding. This includes training people on evacuation routes, safe locations and simulation drills. In addition, the project has tried preventative measures such as planting hundreds of trees in valleys prone to landslides to provide greater stabilisation.
In total, four early warning systems have been installed across the four countries involved in the project covering seven high-risk areas. As a result, UNESCO estimates these systems are protecting over 100,000 people.
“Early warning systems are a key risk reduction measure, allowing communities to evacuate in time and reduce potential loss of life and damage to assets,” added Aripkhanova.
Community participation
The active role of each community is built into these interventions. Ensuring local people are core contributors is seen as crucial to building long-term climate resilience.
These communities are witnessing the threats from climate change materialise on a yearly basis, and researchers are now tapping into that understanding when implementing adaptation projects.
After the 2022 floods, Pakistan’s development minister, Ahsan Iqbal, wrote that “there is an opportunity to do things differently” and that “enhancing Pakistan’s resilience to shocks and stresses amidst climate change, especially for the poorest…is essential for the country’s future.”
The climate shocks remain as strong as ever, but using the right tools and simple solutions can soften the blow when they occur.
Adam Wentworth is a freelancer writer based in Brighton, UK
The post Early warning systems are saving lives in Central Asia appeared first on Climate Home News.
Climate Change
Earth’s Greatest Underwater Migrations Are Disappearing
From the Amazon to the Mekong, migratory freshwater fish underpin food security for millions, but over 300 species need urgent conservation intervention, warns a new UN report.
Beneath the surface of the planet’s rivers and lakes, the historically heaving migrations of freshwater fish are thinning out. The blubbery-lipped Siamese giant carp of Asia’s Mekong River, the mottled brown goonch of India’s Ganges and the ancient-in-appearance beluga sturgeon of Europe’s Danube River are declining.
Climate Change
Border Communities Remain in the Dark About Federal Government’s Billion-Dollar Buoy Project
The industrial-grade buoys, already being installed in Brownsville, Texas, are meant to prevent unauthorized crossings. But experts warn the buoys could intensify flooding and change the river’s course.
Reporting supported by the Water Desk at the University of Colorado, Boulder.
Border Communities Remain in the Dark About Federal Government’s Billion-Dollar Buoy Project
-
Greenhouse Gases7 months ago
Guest post: Why China is still building new coal – and when it might stop
-
Climate Change7 months ago
Guest post: Why China is still building new coal – and when it might stop
-
Greenhouse Gases2 years ago嘉宾来稿:满足中国增长的用电需求 光伏加储能“比新建煤电更实惠”
-
Climate Change2 years ago
Bill Discounting Climate Change in Florida’s Energy Policy Awaits DeSantis’ Approval
-
Climate Change2 years ago嘉宾来稿:满足中国增长的用电需求 光伏加储能“比新建煤电更实惠”
-
Climate Change Videos2 years ago
The toxic gas flares fuelling Nigeria’s climate change – BBC News
-
Carbon Footprint2 years agoUS SEC’s Climate Disclosure Rules Spur Renewed Interest in Carbon Credits
-
Renewable Energy5 months agoSending Progressive Philanthropist George Soros to Prison?
