3. We are committed to open research and dialogue on the ethical, social, economic, and legal implications of AI.

Principle: Tenets, Sep 28, 2016 (unconfirmed)

Published by Partnership on AI

Related Principles

(Preamble)

Understanding the social and ethical implications of a field as complex as AI will only be possible through world class scientific research and the inclusion of many voices. DeepMind Ethics & Society is governed by five Principles that seek to guarantee the rigour, transparency and social accountability of its work.

Published by DeepMind in DeepMind Ethics & Society Principles, Oct 3, 2017 (unconfirmed)

· 2.1. Investing in AI research and development

a) Governments should consider long term public investment, and encourage private investment, in research and development, including inter disciplinary efforts, to spur innovation in trustworthy AI that focus on challenging technical issues and on AI related social, legal and ethical implications and policy issues. b) Governments should also consider public investment and encourage private investment in open datasets that are representative and respect privacy and data protection to support an environment for AI research and development that is free of inappropriate bias and to improve interoperability and use of standards.

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

· 2.1. Investing in AI research and development

a) Governments should consider long term public investment, and encourage private investment, in research and development, including inter disciplinary efforts, to spur innovation in trustworthy AI that focus on challenging technical issues and on AI related social, legal and ethical implications and policy issues. b) Governments should also consider public investment and encourage private investment in open datasets that are representative and respect privacy and data protection to support an environment for AI research and development that is free of inappropriate bias and to improve interoperability and use of standards.

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

4. Cooperative Orientation

We will actively cooperate with other research and policy institutions; we seek to create a global community working together to address AGI’s global challenges. We are committed to providing public goods that help society navigate the path to AGI. Today this includes publishing most of our AI research, but we expect that safety and security concerns will reduce our traditional publishing in the future, while increasing the importance of sharing safety, policy, and standards research.

Published by OpenAI in OpenAI Charter, Apr 9, 2018

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