Cooperation

AI technologies and applications related to Biodiversity Conservation should be promoted. AI should be used to promote global sharing of the value of biodiversity, especially through appropriate means to promote the adoption of AI enabled Biodiversity Conservation infrastructure in low and middle income countries. AI should be used to promote international cooperation on Biodiversity Conservation, to establish cooperation platforms on regulating wildlife trade, protecting wildlife migration, and establishing germplasm banks, to share related data and technology, and to share the benefits of Biodiversity Conservation.
Principle: Principles on Artificial Intelligence for Biodiversity Conservation, August 25, 2022

Published by International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences，World Animal Protection Beijing Representative Office and other 7 entities

Related Principles

Education and Training
AI should be applied to promote the education and popularization of knowledge, policies and skills related to Biodiversity Conservation. AI technology should be fully applied to the conservation of biodiversity related knowledge, such as promoting the establishment and application of biodiversity related data and knowledge bases, online encyclopedias, and promoting biodiversity research and protection. AI should be applied to guide the appropriate value of consumption, to automatically monitor and detect behaviors that damage biodiversity, and to adopt appropriate ways to train and guide relevant individuals and organizations.

Published by International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences，World Animal Protection Beijing Representative Office and other 7 entities in Principles on Artificial Intelligence for Biodiversity Conservation, August 25, 2022

· (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

· 2.2. Fostering a digital ecosystem for AI
Governments should foster the development of, and access to, a digital ecosystem for trustworthy AI. Such an ecosystem includes in particular digital technologies and infrastructure, and mechanisms for sharing AI knowledge, as appropriate. In this regard, governments should consider promoting mechanisms, such as data trusts, to support the safe, fair, legal and ethical sharing of data.

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

3. Inclusion and Sharing
AI should promote green development to meet the requirements of environmental friendliness and resource conservation; AI should promote coordinated development by promoting the transformation and upgrading of all industries, and by narrowing regional disparities; AI should promote inclusive development through better education and training, support to the vulnerable groups to adapt, and efforts to eliminate digital divide; AI should promote shared development by avoiding data and platform monopolies, and promoting open and fair competition.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019

· 2.2. Fostering a digital ecosystem for AI
Governments should foster the development of, and access to, a digital ecosystem for trustworthy AI. Such an ecosystem includes in particular digital technologies and infrastructure, and mechanisms for sharing AI knowledge, as appropriate. In this regard, governments should consider promoting mechanisms, such as data trusts, to support the safe, fair, legal and ethical sharing of data.

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

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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Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
International Research Center for AI Ethics and Governance, Institute of Automation, Chinese Academy of Sciences
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