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

· 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.

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

(preamble)

Addressing global climate change is essential for the sustainable future of humanity and ecology. The stakeholders of Artificial Intelligence (AI) Science and Technology should deeply collaborate with stakeholders of climate change and ecosystems to contribute to the implementation of the global climate agenda, such as the United Nations Framework Convention on Climate Change (UNFCCC), the Paris Agreement, and the UNESCO Strategy for Action on Climate Change. With international ethical principles such as those enshrined in the UNESCO Recommendation on the Ethics of Artificial Intelligence, the UNESCO Declaration of Ethical Principles in relation to Climate Change, etc. as the foundation, the proposed principles here serve as cross domain efforts on development and ethical principles of AI for climate actions. Aimed at all stakeholders in AI and climate action, including management, Research and Development, use, deployment, investment, etc., these principles aim to provide relevant parties with principles of AI development and governance to address climate change through deep synergy between technology, ethics and governance, and contribute to the steady advancement of the global climate agenda.

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

· For human and ecology good

AI technology and its applications should not only serve for the development of human society, but should contribute to the symbiosis of humankind, ecological systems and the environment. Hence they should also generally be beneficial to the control of climate change and the improvement of the ecological environment, and should be used as an enabling technology to support the realization of the overall goals of global climate action and the climate agenda, and contribute to the realization of carbon peaking and carbon neutrality goals.

· 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.

· 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.

· 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.