· 4. Be accountable to people.

We will design AI systems that provide appropriate opportunities for feedback, relevant explanations, and appeal. Our AI technologies will be subject to appropriate human direction and control.
Principle: Artificial Intelligence at Google: Our Principles, Jun 7, 2018

Published by Google

Related Principles

Accountability

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled. This principle aims to acknowledge the relevant organisations' and individuals’ responsibility for the outcomes of the AI systems that they design, develop, deploy and operate. The application of legal principles regarding accountability for AI systems is still developing. Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. This includes both before and after their design, development, deployment and operation. The organisation and individual accountable for the decision should be identifiable as necessary. They must consider the appropriate level of human control or oversight for the particular AI system or use case. AI systems that have a significant impact on an individual's rights should be accountable to external review, this includes providing timely, accurate, and complete information for the purposes of independent oversight bodies.

Published by Department of Industry, Innovation and Science, Australian Government in AI Ethics Principles, Nov 7, 2019

· 1. Be socially beneficial.

The expanded reach of new technologies increasingly touches society as a whole. Advances in AI will have transformative impacts in a wide range of fields, including healthcare, security, energy, transportation, manufacturing, and entertainment. As we consider potential development and uses of AI technologies, we will take into account a broad range of social and economic factors, and will proceed where we believe that the overall likely benefits substantially exceed the foreseeable risks and downsides. AI also enhances our ability to understand the meaning of content at scale. We will strive to make high quality and accurate information readily available using AI, while continuing to respect cultural, social, and legal norms in the countries where we operate. And we will continue to thoughtfully evaluate when to make our technologies available on a non commercial basis.

Published by Google in Artificial Intelligence at Google: Our Principles, Jun 7, 2018

• Require Accountability for Ethical Design and Implementation

The social implications of computing have grown and will continue to expand as more people have access to implementations of AI. Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms. [Recommendations] • Standing for “Accountable Artificial Intelligence”: Governments, industry and academia should apply the Information Accountability Foundation’s principles to AI. Organizations implementing AI solutions should be able to demonstrate to regulators that they have the right processes, policies and resources in place to meet those principles. • Transparent decisions: Governments should determine which AI implementations require algorithm explainability to mitigate discrimination and harm to individuals.

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

8. Principle of user assistance

Developers should take it into consideration that AI systems will support users and make it possible to give them opportunities for choice in appropriate manners. [Comment] In order to support users of AI systems, it is recommended that developers pay attention to the followings: ● To make efforts to make available interfaces that provide in a timely and appropriate manner the information that can help users’ decisions and are easy to use for them. ● To make efforts to give consideration to make available functions that provide users with opportunities for choice in a timely and appropriate manner (e.g., default settings, easy to understand options, feedbacks, emergency warnings, handling of errors, etc.). And ● To make efforts to take measures to make AI systems easier to use for socially vulnerable people such as universal design. In addition, it is recommended that developers make efforts to provide users with appropriate information considering the possibility of changes in outputs or programs as a result of learning or other methods of AI systems.

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in AI R&D Principles, Jul 28, 2017

· We will share the benefits of AI throughout society

1. Development of AI systems will be matched by a response to its impact on employment 2. AI will be used to help humans retain purpose and flourish mentally, emotionally and economically alongside AI 3. Access to training, opportunity and tools will be made available to all 4. Education should evolve and reflect the latest developments in AI, enabling people to adapt to societal change

Published by Smart Dubai in Dubai's AI Principles, Jan 08, 2019