1. understand and measure the impact of using AI by developing and sharing tools and approaches

Principle: Responsible use of artificial intelligence (AI): Our guiding principles, 2019 (unconfirmed)

Published by Government of Canada

Related Principles

· (1) Human centric

Utilization of AI should not infringe upon fundamental human rights that are guaranteed by the Constitution and international norms. AI should be developed and utilized and implemented in society to expand the abilities of people and to pursue the diverse concepts of happiness of diverse people. In the AI utilized society, it is desirable that we implement appropriate mechanisms of literacy education and promotion of proper uses, so as not to over depend on AI or not to ill manipulate human decisions by exploiting AI. AI can expand human abilities and creativity not only by replacing part of human task but also by assisting human as an advanced instrument. When using AI, people must judge and decide for themselves how to use AI. Appropriate stakeholders involved in the development, provision, and utilization of AI should be responsible for the result of AI utilization, depending on the nature of the issue. In order to avoid creating digital divide and allow all people to reap the benefit of AI regardless of their digital expertise, each stakeholder should take into consideration to user friendliness of the system in the process of AI deployment.

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

· 7. Be made available for uses that accord with these principles.

Many technologies have multiple uses. We will work to limit potentially harmful or abusive applications. As we develop and deploy AI technologies, we will evaluate likely uses in light of the following factors: Primary purpose and use: the primary purpose and likely use of a technology and application, including how closely the solution is related to or adaptable to a harmful use Nature and uniqueness: whether we are making available technology that is unique or more generally available Scale: whether the use of this technology will have significant impact Nature of Google’s involvement: whether we are providing general purpose tools, integrating tools for customers, or developing custom solutions

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

4. As part of an overall “ethics by design” approach, artificial intelligence systems should be designed and developed responsibly, by applying the principles of privacy by default and privacy by design, in particular by:

a. implementing technical and organizational measures and procedures – proportional to the type of system that is developed – to ensure that data subjects’ privacy and personal data are respected, both when determining the means of the processing and at the moment of data processing, b. assessing and documenting the expected impacts on individuals and society at the beginning of an artificial intelligence project and for relevant developments during its entire life cycle, and c. identifying specific requirements for ethical and fair use of the systems and for respecting human rights as part of the development and operations of any artificial intelligence system,

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC) in Declaration On Ethics And Data Protection In Artifical Intelligence, Oct 23, 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

3. Principle of collaboration

AI service providers, business users, and data providers should pay attention to the collaboration of AI systems or AI services. Users should take it into consideration that risks might occur and even be amplified when AI systems are to be networked. [Main points to discuss] A) Attention to the interconnectivity and interoperability of AI systems AI network service providers may be expected to pay attention to the interconnectivity and interoperability of AI with consideration of the characteristics of AI to be used and its usage, in order to promote the benefits of AI through the sound progress of AI networking. B) Address to the standardization of data formats, protocols, etc. AI service providers and business users may be expected to address the standardization of data formats, protocols, etc. in order to promote cooperation among AI systems and between AI systems and other systems, etc. Also, data providers may be expected to address the standardization of data formats. C) Attention to problems caused and amplified by AI networking Although it is expected that collaboration of AI promotes the benefits, users may be expected to pay attention to the possibility that risks (e.g. the risk of loss of control by interconnecting or collaborating their AI systems with other AI systems, etc. through the Internet or other network) might be caused or amplified by AI networking. [Problems (examples) over risks that might become realized and amplified by AI networking] • Risks that one AI system's trouble, etc. spreads to the entire system. • Risks of failures in the cooperation and adjustment between AI systems. • Risks of failures in verifying the judgment and the decision making of AI (risks of failure to analyze the interactions between AI systems because the interactions become complicated). • Risks that the influence of a small number of AI becomes too strong (risks of enterprises and individuals suffering disadvantage by the judgment of a few AI systems). • Risks of the infringement of privacy as a result of information sharing across fields and the concentration of information to one specific AI. • Risks of unexpected actions of AI.

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in Draft AI Utilization Principles, Jul 17, 2018