· 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.
Principle: AI Policy Principles, Oct 24, 2017

Published by Information Technology Industry Council (ITI)

Related Principles

· 2.4. Building human capacity and preparing for labor market transformation

a) Governments should work closely with stakeholders to prepare for the transformation of the world of work and of society. They should empower people to effectively use and interact with AI systems across the breadth of applications, including by equipping them with the necessary skills. b) Governments should take steps, including through social dialogue, to ensure a fair transition for workers as AI is deployed, such as through training programs along the working life, support for those affected by displacement, and access to new opportunities in the labor market. c) Governments should also work closely with stakeholders to promote the responsible use of AI at work, to enhance the safety of workers and the quality of jobs, to foster entrepreneurship and productivity, and aim to ensure that the benefits from AI are broadly and fairly shared.

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

4. All citizens have the right to be educated to enable them to flourish mentally, emotionally and economically alongside artificial intelligence.

We welcome the measures to increase the number of computer science teachers in secondary schools and we urge the Government to ensure that there is support for teachers with associated skills and subjects such as mathematics to retrain. At earlier stages of education, children need to be adequately prepared for working with, and using, AI. For all children, the basic knowledge and understanding necessary to navigate an AI driven world will be essential. AI will have significant implications for the ways in which society lives and works. AI may accelerate the digital disruption in the jobs market. Many jobs will be enhanced by AI, many will disappear and many new, as yet unknown jobs, will be created. A significant Government investment in skills and training is needed if this disruption is to be navigated successfully and to the benefit of the working population and national productivity growth.

Published by House of Lords, Select Committee on Artificial Intelligence in AI Code, Apr 16, 2018

3. Skills

The economic and societal benefits of this new era will not be realized if the human side of the equation is not supported. This is uniquely important with cognitive technology, which augments human intelligence and expertise and works collaboratively with humans. Therefore, the IBM company will work to help students, workers and citizens acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

Published by IBM in Principles for the Cognitive Era, Jan 17, 2017

· 2.4. Building human capacity and preparing for labor market transformation

a) Governments should work closely with stakeholders to prepare for the transformation of the world of work and of society. They should empower people to effectively use and interact with AI systems across the breadth of applications, including by equipping them with the necessary skills. b) Governments should take steps, including through social dialogue, to ensure a fair transition for workers as AI is deployed, such as through training programs along the working life, support for those affected by displacement, and access to new opportunities in the labor market. c) Governments should also work closely with stakeholders to promote the responsible use of AI at work, to enhance the safety of workers and the quality of jobs, to foster entrepreneurship and productivity, and aim to ensure that the benefits from AI are broadly and fairly shared.

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

7. Secure a Just Transition and Ensuring Support for Fundamental Freedoms and Rights

As AI systems develop and augmented realities are formed, workers and work tasks will be displaced. To ensure a just transition, as well as sustainable future developments, it is vital that corporate policies are put in place that ensure corporate accountability in relation to this displacement, such as retraining programmes and job change possibilities. Governmental measures to help displaced workers retrain and find new employment are additionally required. AI systems coupled with the wider transition to the digital economy will require that workers on all levels and in all occupations have access to social security and to continuous lifelong learning to remain employable. It is the responsibility of states and companies to find solutions that provide all workers, in all forms of work, the right to and access to both. In addition, in a world where the casualisation or individualisation of work is rising, all workers in all forms of work must have the same, strong social and fundamental rights. All AI systems must include a check and balance on whether its deployment and augmentation go hand in hand with workers’ rights as laid out in human right laws, ILO conventions and collective agreements. An algorithm “8798” reflecting the core ILO conventions 87 and 98 that is built into the system could serve that very purpose. Upon failure, the system must be shut down.

Published by UNI Global Union in Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017