· Sharing and cooperation

Climate change is a global issue, and human society should collaborate as a whole to handle it, supported by technologies like AI. Climate action requires the establishment of an international cooperation platform empowered by data and AI to promote global collaboration. The formation and use of a global climate change data platform, a global greenhouse gas emission monitoring platform, a global real time carbon trading data platform, and a global real time energy trading data platform should be promoted. Governments, academia, industry, users, professionals in climate change and AI, and other related fields should deeply collaborate to ensure that AI contributes positively to climate action and the achievement of global goals.
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

· (3) Sustainability
We need to generate many new businesses and solutions by utilizing AI, to solve social disparities and to build sustainable societies that can deal with global environmental problems as climate change. Japan, as one of the world leaders in science and technology, has a duty to enhance its legacy by utilizing AI to develop such societies

Published by Cabinet Office, Government of Japan in Social Principles of Human-centric AI, Dec 27, 2018

· (7) Innovation
To realize Society 5.0 and continuous innovation in which people evolve along with AI, it is necessary to account for national, industry academia, and public private borders, race, sex, nationality, age, political and religious beliefs, etc. Beyond these boundaries, through a Global perspective we must promote diversification and cooperation between industry academia public private sectors, through the development of human capabilities and technology. To encourage mutual collaboration and partnership between universities, research institutions and private sectors, and the flexible movement of talent. To implement AI efficiently and securely in society, methods for confirming the quality and reliability of AI and for efficient collection and maintenance of data utilized in AI must be promoted. Additionally, the establishment of AI engineering should also be promoted. This engineering includes methods for the development, testing and operation of AI. To ensure the sound development of AI technology, it is necessary to establish an accessible platform in which data from all fields can be mutually utilized across borders with no monopolies, while ensuring privacy and security. In addition, research and development environments should be created in which computer resources and highspeed networks are shared and utilized, to promote international collaboration and accelerate AI research. To promote implementation of AI technology, governments must promote regulatory reform to reduce impeding factors in AI related fields.

Published by Cabinet Office, Government of Japan in Social Principles of Human-centric AI, Dec 27, 2018

(preamble)
Artificial intelligence (AI) is a new area of human development. Currently, the fast development of AI around the globe has exerted profound influence on socioeconomic development and the progress of human civilization, and brought huge opportunities to the world. However, AI technologies also bring about unpredictable risks and complicated challenges. The governance of AI, a common task faced by all countries in the world, bears on the future of humanity. As global peace and development faces various challenges, all countries should commit to a vision of common, comprehensive, cooperative, and sustainable security, and put equal emphasis on development and security. Countries should build consensus through dialogue and cooperation, and develop open, fair, and efficient governing mechanisms, in a bid to promote AI technologies to benefit humanity and contribute to building a community with a shared future for mankind. We call on all countries to enhance information exchange and technological cooperation on the governance of AI. We should work together to prevent risks, and develop AI governance frameworks, norms and standards based on broad consensus, so as to make AI technologies more secure, reliable, controllable, and equitable. We welcome governments, international organizations, companies, research institutes, civil organizations, and individuals to jointly promote the governance of AI under the principles of extensive consultation, joint contribution, and shared benefits. To make this happen, we would like to suggest the following:

Published by Cyberspace Administration of China in Global AI Governance Initiative, October 18, 2023

(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

· 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.

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

Contact

Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
China 100190
Principal Investigator - Yi Zeng
contact@long-term-ai.cn

Contributors: Cunqing Huangfu, Enmeng Lu, Zizhe Ruan et al.

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International Research Center for AI Ethics and Governance, Institute of Automation, Chinese Academy of Sciences
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