Research Issues

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

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

Related Principles

· 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 Investment in AI Research and Development

We encourage robust support for research and development (R&D) to foster innovation through incentives and funding. As the primary source of funding for long term, high risk research initiatives, we support governments’ investment in research fields specific or highly relevant to AI, including: cyber defense, data analytics, detection of fraudulent transactions or messages, robotics, human augmentation, natural language processing, interfaces, and visualizations.

Published by Information Technology Industry Council (ITI) in AI Policy Principles, Oct 24, 2017

· 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