(l) Sustainability:

For all AI applications, the potential benefits need to be balanced against the environmental impact of the entire AI and IT production cycle.
Principle: Suggested generic principles for the development, implementation and use of AI, Mar 21, 2019

Published by The Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), UNESCO

Related Principles

· (4) Security

Positive utilization of AI means that many social systems will be automated, and the safety of the systems will be improved. On the other hand, within the scope of today's technologies, it is impossible for AI to respond appropriately to rare events or deliberate attacks. Therefore, there is a new security risk for the use of AI. Society should always be aware of the balance of benefits and risks, and should work to improve social safety and sustainability as a whole. Society must promote broad and deep research and development in AI (from immediate measures to deep understanding), such as the proper evaluation of risks in the utilization of AI and research to reduce risks. Society must also pay attention to risk management, including cybersecurity awareness. Society should always pay attention to sustainability in the use of AI. Society should not, in particular, be uniquely dependent on single AI or a few specified AI.

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

· 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.

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

· Deploy and Monitor:

1 After the deployment of the AI system, the AI System Owner should ensure that continuous assessment of the human, social, cultural, economic and environmental impact of AI technologies are carried out with full cognizance of the implications of the AI system for sustainability as a set of constantly evolving goals across a range of dimensions against the priority objectives that were set at the Plan and Design phase. 2 The AI System Owner should also foster and encourage the power of AI solutions in addressing areas of global concern aligning with sustainable development goals.

Published by SDAIA in AI Ethics Principles, Sept 14, 2022

3. Human centric AI

AI should be at the service of society and generate tangible benefits for people. AI systems should always stay under human control and be driven by value based considerations. Telefónica is conscious of the fact that the implementation of AI in our products and services should in no way lead to a negative impact on human rights or the achievement of the UN’s Sustainable Development Goals. We are concerned about the potential use of AI for the creation or spreading of fake news, technology addiction, and the potential reinforcement of societal bias in algorithms in general. We commit to working towards avoiding these tendencies to the extent it is within our realm of control.

Published by Telefónica in AI Principles of Telefónica, Oct 30, 2018