· Article 13: Universal education.

Actively participate in universal education on artificial intelligence for the public, morals and ethics education for relevant practitioners, and digital labor skills retraining for personnel whose jobs have been replaced; alleviate public concerns about artificial intelligence technology; raise public awareness about safety and prevention; and actively respond to questions about current and future workforce challenges.
Principle: Joint Pledge on Artificial Intelligence Industry Self-Discipline (Draft for Comment), May 31, 2019

Published by Artificial Intelligence Industry Alliance (AIIA), China

Related Principles

5. Principle 5 — A IS Technology Misuse and Awareness of It

Issue: How can we extend the benefits and minimize the risks of A IS technology being misused? [Candidate Recommendations] Raise public awareness around the issues of potential A IS technology misuse in an informed and measured way by: 1. Providing ethics education and security awareness that sensitizes society to the potential risks of misuse of A IS (e.g., by providing “data privacy” warnings that some smart devices will collect their user’s personal data). 2. Delivering this education in scalable and effective ways, beginning with those having the greatest credibility and impact that also minimize generalized (e.g., non productive) fear about A IS (e.g., via credible research institutions or think tanks via social media such as Facebook or YouTube). 3. Educating government, lawmakers, and enforcement agencies surrounding these issues so citizens work collaboratively with them to avoid fear or confusion (e.g., in the same way police officers have given public safety lectures in schools for years; in the near future they could provide workshops on safe A IS).

Published by The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems in Ethically Aligned Design (v2): General Principles, (v1) Dec 13, 2016. (v2) Dec 12, 2017

· 3.2 Science, Technology, Engineering and Math (STEM) Education

Current and future workers need to be prepared with the necessary education and training to help them succeed. We recognize that delivering training is critical and will require significant investment, not only in STEM education, but also in understanding human behavior via the humanities and social sciences. To ensure employability of the workforce of the future, the public and private sectors should work together to design and deliver work based learning and training systems, and advance approaches that provide students with real work experiences and concrete skills. In conjunction, prioritizing diversity and inclusion in STEM fields, and in the AI community specifically, will be a key part in ensuring AI develops in the most robust way possible.

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

• Create New Human Employment Opportunities and Protect People’s Welfare

AI will change the way people work. Public policy in support of adding skills to the workforce and promoting employment across different sectors should enhance employment opportunities while also protecting people’s welfare. [Recommendations] • Encouraging Human Employment: Governments should implement programs to mitigate AI’s impact on jobs and devise policies that promote employment. These programs should particularly focus on the effectiveness of incentives in government funded infrastructure projects. • Retraining: Governments should implement policies that support the up skilling and the re skilling of the workforce, particularly in job areas that are less likely to be automated, such as positions focused on person to person interaction and the need for “guided computation” where individuals direct and oversee the operation of the technology.

Published by Intel in AI public policy principles, Oct 18, 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

2. Public Participation

Public participation, especially in those instances where AI uses information about individuals, will improve agency accountability and regulatory outcomes, as well as increase public trust and confidence. Agencies should provide ample opportunities for the public to national standard for a specific aspect related to AI is not essential, however, agencies should provide information and participate in all stages of the rulemaking process, to the extent feasible and consistent with legal requirements (including legal constraints on participation in certain situations, for example, national security preventing imminent threat to or responding to emergencies). Agencies are also encouraged, to the extent practicable, to inform the public and promote awareness and widespread availability of standards and the creation of other informative documents.

Published by The White House Office of Science and Technology Policy (OSTP), United States in Principles for the Stewardship of AI Applications, Jan 13, 2020