9. Create an enabling environment for child centred AI

Support infrastructure development to address the digital divide and aim for equitable sharing of the benefits of AI. Provide funding and incentives for child centred AI policies and strategies. Support research on AI for and with children across the system's life cycle. Engage in digital cooperation.
Principle: Requirements for child-centred AI, Sep 16, 2020

Published by United Nations Children's Fund (UNICEF) and the Ministry of

Related Principles

· (7) Innovation

To realize Society 5.0 and continuous innovation in which people evolve along with AI, it is necessary to account for national, industry academia, and public private borders, race, sex, nationality, age, political and religious beliefs, etc. Beyond these boundaries, through a Global perspective we must promote diversification and cooperation between industry academia public private sectors, through the development of human capabilities and technology. To encourage mutual collaboration and partnership between universities, research institutions and private sectors, and the flexible movement of talent. To implement AI efficiently and securely in society, methods for confirming the quality and reliability of AI and for efficient collection and maintenance of data utilized in AI must be promoted. Additionally, the establishment of AI engineering should also be promoted. This engineering includes methods for the development, testing and operation of AI. To ensure the sound development of AI technology, it is necessary to establish an accessible platform in which data from all fields can be mutually utilized across borders with no monopolies, while ensuring privacy and security. In addition, research and development environments should be created in which computer resources and highspeed networks are shared and utilized, to promote international collaboration and accelerate AI research. To promote implementation of AI technology, governments must promote regulatory reform to reduce impeding factors in AI related fields.

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

• Foster Innovation and Open Development

To better understand the impact of AI and explore the broad diversity of AI implementations, public policy should encourage investment in AI R&D. Governments should support the controlled testing of AI systems to help industry, academia, and other stakeholders improve the technology. [Recommendations] • Fuel AI innovation: Public policy should promote investment, make available funds for R&D, and address barriers to AI development and adoption. • Address global societal challenges: AI powered flagship initiatives should be funded to find solutions to the world’s greatest challenges such as curing cancer, ensuring food security, controlling climate change, and achieving inclusive economic growth. • Allow for experimentation: Governments should create the conditions necessary for the controlled testing and experimentation of AI in the real world, such as designating self driving test sites in cities. • Prepare a workforce for AI: Governments should create incentives for students to pursue courses of study that will allow them to create the next generation of AI. • Lead by example: Governments should lead the way on demonstrating the applications of AI in its interactions with citizens and invest sufficiently in infrastructure to support and deliver AI based services. • Partnering for AI: Governments should partner with industry, academia, and other stakeholders for the promotion of AI and debate ways to maximize its benefits for the economy.

Published by Intel in AI public policy principles, Oct 18, 2017

2. Ensure inclusion of and for children

Strive for diversity amongst those who design, develop, collect and process data, implement, research, regulate and oversee AI systems. Adopt an inclusive design approach when developing AI products that will be used by children or impact them. Support meaningful child participation, both in AI policies and in the design and development processes.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020

7. Empower governments and businesses with knowledge of AI and children's rights

Ensure capacity building on AI and child rights for policymakers, top management and AI system developers. Capitalize on customers' demand for trusted and transparent AI solutions for children. Commit to child centred AI and put in place mechanisms to realize this in practice.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020

8. Prepare children for present and future developments in AI

Develop and update formal and informal education programmes globally to include technical and soft skills needed to flourish in an AI world, including in the future workplace. Consider a national self assessment for teachers to assess and then develop their AI awareness and skills. Leverage the use of AI systems in education, when it is appropriate. Facilitate and encourage collaboration between businesses and educational institutions. Develop and promote awareness campaigns for parents, caregivers and society as a whole.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020