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

· Promote greenhouse gas absorption and carbon storage

AI can be used to monitor, predict the greenhouse gas production from the ecosystems, and contribute to the intervention process. AI can be used to promote the development of greenhouse gas recycling technologies, and to protect ecosystems such as forests, peatlands, and oceans that can absorb and store carbon.

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

· Contribute to reducing greenhouse gas emissions

AI can be used to contribute to reduce greenhouse gas emissions through process optimization and monitoring technology, and help develop new materials and new processes that release less greenhouse gases. AI can be used to optimize breeds and agricultural production methods to reduce methane and nitrogen oxides in animal husbandry and agriculture. AI can be used for automatic garbage classification to recycle and obtain fuel, feed, steel and other materials, industrial raw materials, etc. in the garbage for reuse.

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

· 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.

· Empower the development of energy systems

AI should contribute to the development of the energy system. AI can be used to optimize energy systems and promote green energy development. For example, AI can be used to optimize the overall design and deployment of energy systems, and improve energy efficiency. AI can also contribute to research, development and use of green energy technologies such as wind power, photovoltaics, nuclear fusion, geothermal energy, biogas, and electric fuel. Through the development of smart grid control and related technologies, AI can be used to improve the stability and reliability of the power systems.

10 SUSTAINABLE DEVELOPMENT PRINCIPLE

The development and use of AIS must be carried out so as to ensure a strong environmental sustainability of the planet. 1) AIS hardware, its digital infrastructure and the relevant objects on which it relies such as data centres, must aim for the greatest energy efﬁciency and to mitigate greenhouse gas emissions over its entire life cycle. 2) AIS hardware, its digital infrastructure and the relevant objects on which it relies, must aim to generate the least amount of electric and electronic waste and to provide for maintenance, repair, and recycling procedures according to the principles of circular economy. 3) AIS hardware, its digital infrastructure and the relevant objects on which it relies, must minimize our impact on ecosystems and biodiversity at every stage of its life cycle, notably with respect to the extraction of resources and the ultimate disposition of the equipment when it has reached the end of its useful life. 4) Public and private actors must support the environmentally responsible development of AIS in order to combat the waste of natural resources and produced goods, build sustainable supply chains and trade, and reduce global pollution.

Published by University of Montreal in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Dec 4, 2018

· Environment and ecosystem flourishing

17. Environmental and ecosystem flourishing should be recognized, protected and promoted through the life cycle of AI systems. Furthermore, environment and ecosystems are the existential necessity for humanity and other living beings to be able to enjoy the benefits of advances in AI. 18. All actors involved in the life cycle of AI systems must comply with applicable international law and domestic legislation, standards and practices, such as precaution, designed for environmental and ecosystem protection and restoration, and sustainable development. They should reduce the environmental impact of AI systems, including but not limited to its carbon footprint, to ensure the minimization of climate change and environmental risk factors, and prevent the unsustainable exploitation, use and transformation of natural resources contributing to the deterioration of the environment and the degradation of ecosystems.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021