Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

· Contribute to the establishment of market mechanisms and policies conducive to the control of climate change

AI can be used to analyze and predict the carbon footprint of various industries, to help to establish a scientific and effective carbon trading mechanism and a real time energy pricing system, so as to promote the establishment of a market mechanism conducive to climate change control. With careful ethics evaluation, sufficient investment and sound infrastructure should be given to AI related projects that are conducive to climate change control.

Principle: Principles on AI for Climate Action, April 26, 2022

Published by International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences and other 10 entities

Related Principles

· Fairness and justice

AI should be transparent and objective when it contributes to climate action. When it is used to assess, analyze and predict the impact of countries, regions and industries on climate change, their characteristics and development stages should be considered to avoid introducing bias. AI should contribute to the attention and evaluation of potential additional damages suffered by vulnerable groups in climate change, as well as the assessment of the negative impact of new technology revolutions on climate change, so as to avoid exacerbating inequality between countries, regions and social groups due to climate change. AI technologies and systems related to climate change control are encouraged to be opensource and shared. We should actively empower low and middle income countries, and regions with lower development status on AI to accelerate the realization of global climate goals.

Published by International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences and other 10 entities in Principles on AI for Climate Action, April 26, 2022

· Facilitate climate analysis and forecasting

AI can be used to assist in monitoring the causes and states of climate change, and through computational modeling and simulation, it can contribute to the understanding of climate mechanisms and forecast climate change trends, assist avoiding climate risks and crisis, such efforts should especially provided to low and middle income countries for early warning of climate disasters. It can be used to track the sources and impacts of greenhouse gases, to analyze and predict the impact of climate change and climate policies on the economy, politics and people's livelihood.

· Reducing the harm caused by climate change

AI can be used to monitor, simulate, and predict extreme climates to reduce their harm, and can be used to make rational planning for agriculture under global warming and assist in the development of crops adapted to the environment change to reduce the impact on agriculture. AI should assist urban planning so that it can cope with the impact of climate change. AI should assist in optimizing industrial processes, enabling companies to comply with green standards for sustainable development.

· 2.3 Shaping an enabling policy environment for AI

a) Governments should promote a policy environment that supports an agile transition from the research and development stage to the deployment and operation stage for trustworthy AI systems. To this effect, they should consider using experimentation to provide a controlled environment in which AI systems can be tested, and scaled up, as appropriate. b) Governments should review and adapt, as appropriate, their policy and regulatory frameworks and assessment mechanisms as they apply to AI systems to encourage innovation and competition for trustworthy AI.

Published by G20 Ministerial Meeting on Trade and Digital Economy in G20 AI Principles, Jun 09, 2019

· 2.3 Shaping an enabling policy environment for AI

a) Governments should promote a policy environment that supports an agile transition from the research and development stage to the deployment and operation stage for trustworthy AI systems. To this effect, they should consider using experimentation to provide a controlled environment in which AI systems can be tested, and scaled up, as appropriate. b) Governments should review and adapt, as appropriate, their policy and regulatory frameworks and assessment mechanisms as they apply to AI systems to encourage innovation and competition for trustworthy AI.

Published by The Organisation for Economic Co-operation and Development (OECD) in OECD Principles on Artificial Intelligence, May 22, 2019

· Contribute to the establishment of market mechanisms and policies conducive to the control of climate change

Principle: Principles on AI for Climate Action, April 26, 2022

Related Principles

· Fairness and justice

· Facilitate climate analysis and forecasting

· Reducing the harm caused by climate change

· 2.3 Shaping an enabling policy environment for AI

· 2.3 Shaping an enabling policy environment for AI

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