智善 · 共济链接人工智能原则平台

减少气候变化带来的危害

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.

原则: 面向气候行动的人工智能原则, April 26, 2022

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

相关原则

· 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.

由 International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences and other 10 entities 在面向气候行动的人工智能原则发表, 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.

· Plan and Design:

1 AI systems have a significant impact on communities and the ecosystems that they live in; hence AI System Owners should have a high sense of awareness that these technologies may have disruptive and transformative effects on society and the environment. The design of AI systems should be approached in an ethical and sensitive manner in line with the values of prevention of harm to both human beings and the environment. 2 When planning and designing AI systems, due consideration should be given to preventing and helping address social and environmental issues in a way that will ensure sustainable social and ecological responsibility.

由 SDAIA 在人工智能伦理准则发表, Sept 14, 2022

· 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.

由 The United Nations Educational, Scientific and Cultural Organization (UNESCO) 在人工智能伦理问题建议书发表, Nov 24, 2021

6 Promote artificial intelligence that is responsive and sustainable

Responsiveness requires that designers, developers and users continuously, systematically and transparently examine an AI technology to determine whether it is responding adequately, appropriately and according to communicated expectations and requirements in the context in which it is used. Thus, identification of a health need requires that institutions and governments respond to that need and its context with appropriate technologies with the aim of achieving the public interest in health protection and promotion. When an AI technology is ineffective or engenders dissatisfaction, the duty to be responsive requires an institutional process to resolve the problem, which may include terminating use of the technology. Responsiveness also requires that AI technologies be consistent with wider efforts to promote health systems and environmental and workplace sustainability. AI technologies should be introduced only if they can be fully integrated and sustained in the health care system. Too often, especially in under resourced health systems, new technologies are not used or are not repaired or updated, thereby wasting scare resources that could have been invested in proven interventions. Furthermore, AI systems should be designed to minimize their ecological footprints and increase energy efficiency, so that use of AI is consistent with society’s efforts to reduce the impact of human beings on the earth’s environment, ecosystems and climate. Sustainability also requires governments and companies to address anticipated disruptions to the workplace, including training of health care workers to adapt to use of AI and potential job losses due to the use of automated systems for routine health care functions and administrative tasks.

由 World Health Organization (WHO) 在卫生健康领域人工智能的核心伦理原则（Key ethical principles for use of artificial intelligence for health）发表, Jun 28, 2021