Longer term Issues

Principle: Asilomar AI Principles, Jan 3-8, 2017

Published by Future of Life Institute (FLI), Beneficial AI 2017

Related Principles

· Long term Planning

Continuous research on the potential risks of Augmented Intelligence, Artificial General Intelligence (AGI) and Superintelligence should be encouraged. Strategic designs should be considered to ensure that AI will always be beneficial to society and nature in the future.

Published by Beijing Academy of Artificial Intelligence (BAAI); Peking University; Tsinghua University; Institute of Automation, Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences; Artifical Intelligence Industry Innovation Strategy Alliance (AITISA); etc. in Beijing AI Principles, May 25, 2019

· Be sustainable

The continued benefits for children's growth and development should be regarded as the development goal of AI for children. Attention should be paid to the uncertainty in the long term application of AI on children, and short sightedness that might bring in negative impacts on children in pursuit of short term benefits should be avoided.

Published by Beijing Academy of Artificial Intelligence (BAAI), Peking University, Tsinghua University and the Chinese Academy of Sciences, together with enterprises that focus on AI development. in Artificial Intelligence for Children: Beijing Principles, Sep 14, 2020

· (18) Collaboration

Human and AI need to collaborate for the advancements and long term future of both sides.

Published by HAIP Initiative in Harmonious Artificial Intelligence Principles (HAIP), Sep 16, 2018

Social and Economic Impacts

Principle: Stakeholders should shape an environment where AI provides socio economic opportunities for all. Recommendations: All stakeholders should engage in an ongoing dialogue to determine the strategies needed to seize upon artificial intelligence’s vast socio economic opportunities for all, while mitigating its potential negative impacts. A dialogue could address related issues such as educational reform, universal income, and a review of social services.

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" in Guiding Principles and Recommendations, Apr 18, 2017

7. We engage with the wider societal challenges of AI

While we have control, to a large extent, over the preceding areas, there are numerous emerging challenges that require a much broader discourse across industries, disciplines, borders, and cultural, philosophical, and religious traditions. These include, but are not limited to, questions concerning: Economic impact, such as how industry and society can collaborate to prepare students and workers for an AI economy and how society may need to adapt means of economic redistribution, social safety, and economic development. Social impact, such as the value and meaning of work for people and the potential role of AI software as social companions and caretakers. Normative questions around how AI should confront ethical dilemmas and what applications of AI, specifically with regards to security and safety, should be considered permissible. We look forward to making SAP one of many active voices in these debates by engaging with our AI Ethics Advisory Panel and a wide range of partnerships and initiatives.

Published by SAP in SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018