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Draft Resolution 1.0

The draft resolution by the United Nations Environmental Programme emphasizes the critical role of AI in addressing climate change and environmental degradation, advocating for international cooperation and ethical practices in AI deployment. It outlines various applications of AI, including enhancing energy efficiency, supporting biodiversity conservation, and improving predictive models for climate change. The resolution also highlights the need for sustainable AI practices to minimize environmental impacts and encourages innovation and investment in AI for environmental sustainability.

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0% found this document useful (0 votes)
7 views6 pages

Draft Resolution 1.0

The draft resolution by the United Nations Environmental Programme emphasizes the critical role of AI in addressing climate change and environmental degradation, advocating for international cooperation and ethical practices in AI deployment. It outlines various applications of AI, including enhancing energy efficiency, supporting biodiversity conservation, and improving predictive models for climate change. The resolution also highlights the need for sustainable AI practices to minimize environmental impacts and encourages innovation and investment in AI for environmental sustainability.

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kashvi sharma
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Draft Resolution 1.

Committee- United Nations Environmental Programme

Agenda- Impact of AI on environmental conservation and global warming mitigation

Sponsor-Grand Duchy of Luxembourg, Republic of India, The Commonwealth of


Australia, Republic of Montenegro

Signatories- Republic of Angola, Central African Republic, Kingdom of Sweden, State


of Israel, People's Democratic Republic of Algeria, State of Japan, Republic of Belarus,
Kingdom of Belgium, Socialist Republic of Vietnam, Federal Republic of Germany,
United Arab Emirates, United States of America, United Kingdom of Great Britain and
Northern Ireland, Georgia, Republic of Fiji, Hashemite Kingdom of Jordan, State of
Libya, Republic of Chile, Republic of Costa Rica, Republic of the Philippines,
Portuguese Republic, Republic of Lithuania, Commonwealth of the Bahamas, Republic
of Singapore, Republic of Botswana, Republic of Mozambique, Republic of Indonesia,
Kingdom of Saudi Arabia, Republic of Kenya, Kingdom of Spain, United Mexican
States, Arab Republic of Egypt, Republic of Finland, Republic of South Africa, Federal
Republic of Nigeria,

United Nations Environmental Programme,

Recognizing the urgent need to address the accelerating climate crisis and its profound
impact on humanity and the planet,

Affirming the importance of international cooperation and the sharing of data and
technology in addressing global challenges,

Emphasizing the critical role of AI in developing groundbreaking solutions to


environmental and security challenges,

Acknowledging the potential of AI to both mitigate and intensify climate change and
security risks,

Recognizing the need for responsible and ethical expansion and deployment of AI
technologies,
Determined to harness the power of AI for the benefit of all civilization while minimizing
its negative influences,

1. Recognises the critical role of AI in addressing the global challenges of climate


change and environmental degradation, and accepting the potential of AI to significantly
contribute to sustainable development goal 12.6.1

a) i) Aluminium composites and ceramics as they have good thermal properties, and
offer high strength, which makes them perfect for use in AI hardware components,

ii) Bioplastics and biodegradable polymers as bio-based materials can replace


traditional plastics in AI housing, casings, and other dispensable components,

iii) Phase-change materials are resources that can store and release thermal energy
through a phase transition, such as melting and solidifying, they can enhance thermal
management in AI data centres and computing facilities, improving energy efficiency,
(UK)

b) AI can analyse satellite data to forecast phytoplankton growth in the oceans, which is
important because these microorganisms play a key role in absorbing carbon dioxide
from the atmosphere, by predicting where and when phytoplankton blooms will occur,
scientists can better understand their impact on carbon confiscation and global
warming, allowing for more informed strategies to address climate change, (USA)

c) Symbiotic relations between nuclear power plants and data centres - Nuclear power
plants have a stable source of energy, which if harnessed correctly, will be the most
sustainable and dependable option in the near future, Using this energy resource to
effectively power AI data centres, their carbon footprint can be minimised, and in turn,
AI can enhance working and safety of the power plants (Luxembourg);

2. Emphasises the necessity for international cooperation and collaboration in


harnessing the power of AI for environmental sustainability, and the importance of
ensuring that the development and application of AI technologies are guided by
principles of ethical use, transparency, and inclusivity

a) A part of the legal framework, the UN will develop a foundational model of AI, with the
basic data, which is the same for the entire globe, member states will then share their
environmental and cultural data, utilising which, the UN can enable AI to generate
solutions and analysis targeted to specific regions and cultures, this ensures a certain
level of certain uniformity in the AI models, while being tailored to specific countries,
(Luxembourg)

3.Notes with concern the environmental impact of AI itself, including its energy
consumption and electronic waste generation, and the necessity of developing
sustainable AI practices that minimise these impacts

a. A policy regarding e-waste management will be developed, the amount of


manufacture of the hardware and the mining of rare mineral components of the earth
should be equal to the recycling amount of it every year, (Sweden)

b. Artificial Intelligence alarming system detects gas leaks promptly and precisely in
large factories, potentially averting catastrophic disasters like the Bhopal incident,
industrial fixed gas detectors are used to monitor high gas levels and warn workers
in the event of a gas leak, gas sensors can also specify the gas leak location in the
factory by sensing the gas, hence, AIAS can be used to prevent gas leak tragedies
and in turn protects environment and humans, (Belarus)

c. AI algorithms can help in designing energy-efficient buildings, planning low-emission


transportation routes, and even in carbon capture technologies, by streamlining
operations and identifying areas for energy savings (Georgia);

d. AI-driven microgrid systems to integrate renewable energy sources into local


communities, these systems enhance energy resilience and reduce the carbon
footprint by efficiently managing energy distribution and storage, (Libya)

e. Use of wind power and solar power to train AI, this is actually possible through a
basic process, wind power and solar power can be generated using wind mills and
solar panels respectively, this electricity can then power cloud computing
infrastructure and large data centres, which will then train AI (Egypt);

4.Recognises the opportunities for AI to enhance climate flexibility, support biodiversity


conservation, and facilitate the transition to a green economy, while ensuring that these
advancements benefit all segments of society and do not intensify existing differences

a. With the help of AI tools, we can map and detect the routes of endangered migratory
animals which will help us to take protection measures, We can build safety zones
for them on their migration routes so that they cannot be hunted and will be
protected from other external dangers too, we can do this with the help of retention
walls and gratings, helping us in dealing with the very much needed wildlife
conservation, (Sweden)

b. The use of carbon capturing AI systems to release concentrated CO₂ where the
forest fires have come to extremes, with proper evacuation the use of large-scale
machines that function like fire extinguishers, (Montenegro)

c. The use of various AI detection softwares and sensors to keep track of illegal
loggers in heavily forested areas, (Montenegro)

d. The UN's World Meteorological Organization has highlighted the potential of


AI-driven technologies in processing large amounts of data, improving predictive
models, and predicting climate change patterns, these advancements can aid
communities in developing effective adaptation and mitigation strategies, through AI
driven apps, (Japan);

e. A Global Carbon Sequestration Monitor , an AI-powered system that monitors and


predicts carbon sequestration stories around the world and offers a real-time
monitoring system to facilitate an ongoing, actionable manner of addressing the
climate crisis, by combining data from various sources such as satellite imaging,
sensor networks and other research studies GCSM enables measuring how much
carbon is being confiscated in forests, oceans, soils, wetlands and some dimensions
of urban areas, as such, we leverage the power of AI to analyse trends in these
patterns, detect anomalies and most excitingly, to forecast future carbon
sequestration potential (India);

5.Strongly encourages fostering innovation and investment in AI for environmental


sustainability, and to creating a supportive policy environment that encourages the
responsible development and deployment of AI technologies

a. To attract the additional financing needed to transform the global economy and
for banks to meet their Paris Agreement, governments need to create further policies,
incentives, and frameworks to support more sectors of the real economy in more
markets to decarbonize, Such a fund aligns with UNEP's principles of promoting
collaborative and multi-stakeholder approaches to financing, By involving diverse
stakeholders, these groupings can harness AI groupings and facilitate the scaling up of
green technologies in new markets, this inclusive approach aligns with UNEP's
principles of multi-stakeholder collaboration, ensuring that AI-driven initiatives are not
only technologically advanced but also socially equitable and environmentally
sustainable (Vietnam),

b)Effective restoration planning is crucial for achieving SDG 6.6.1, which aims to protect
and restore freshwater ecosystems. Utilising AI-powered tools, conservationists can
identify key areas needing restoration, predict the outcomes of various interventions,
and optimise plans to restore these ecosystems, This approach leads to a higher
percentage of protection for freshwater ecosystems, including wetlands, rivers, and
lakes, ultimately contributing to the achievement of SDG 6.6.1, AI-based restoration
planning also incorporates stakeholder interests, ensures sustainable restoration
activities, and enhances the resilience of entire freshwater systems,(India)

6.Emphasizes the importance of utilising space-based methane-detecting instruments


to identify major emissions events,

a. MARS, an initiative declared with UNEP’s International Methane Emissions


Observatory, in partnership with the International Energy Agency and Climate and
Clean Air Coalition, that aims to scale up global efforts to detect and act on major
emissions sources in a transparent manner, it identifies major methane emissions
events using space-based methane-detecting instruments, notifies relevant
stakeholders of the detection expediently, and helps companies and government
(Australia),

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