Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

· Technical Collaboration

The international scientific community must work together to address the technological and social challenges posed by advanced AI systems. We encourage building a stronger global technical network to accelerate AI safety R&D and collaborations through visiting researcher programs and organizing in depth AI safety conferences and workshops. Additional funding will be required to support the growth of this field: we call for AI developers and government funders to invest at least one third of their AI R&D budget in safety.

Principle: IDAIS-Beijing, May 10, 2024

Published by IDAIS (International Dialogues on AI Safety)

Related Principles

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Reaching adequate safety levels for advanced AI will also require immense research progress. Advanced AI systems must be demonstrably aligned with their designer’s intent, as well as appropriate norms and values. They must also be robust against both malicious actors and rare failure modes. Sufficient human control needs to be ensured for these systems. Concerted effort by the global research community in both AI and other disciplines is essential; we need a global network of dedicated AI safety research and governance institutions. We call on leading AI developers to make a minimum spending commitment of one third of their AI R&D on AI safety and for government agencies to fund academic and non profit AI safety and governance research in at least the same proportion.

Published by IDAIS (International Dialogues on AI Safety) in IDAIS-Oxford, Oct 31, 2023

• 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

· 2.5. International co operation for trustworthy AI

a) Governments, including developing countries and with stakeholders, should actively cooperate to advance these principles and to progress on responsible stewardship of trustworthy AI. b) Governments should work together in the OECD and other global and regional fora to foster the sharing of AI knowledge, as appropriate. They should encourage international, crosssectoral and open multi stakeholder initiatives to garner long term expertise on AI. c) Governments should promote the development of multi stakeholder, consensus driven global technical standards for interoperable and trustworthy AI. d) Governments should also encourage the development, and their own use, of internationally comparable metrics to measure AI research, development and deployment, and gather the evidence base to assess progress in the implementation of these principles.

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

· 5. INTERESTS OF DEVELOPING AI TECHNOLOGIES ABOVE THE INTERESTS OF COMPETITION

5.1. Correctness of AIS comparisons. To maintain the fair competition and effective cooperation of developers, AI Actors should use the most reliable and comparable information about the capabilities of AISs in relation to a task and ensure the uniformity of the measurement methodologies. 5.2. Development of competencies. AI Actors are encouraged to follow practices adopted by the professional community, to maintain the proper level of professional competence necessary for safe and effective work with AIS and to promote the improvement of the professional competence of workers in the field of AI, including within the framework of programs and educational disciplines on AI ethics. 5.3. Collaboration of developers. AI Actors are encouraged to develop cooperation within the AI Actor community, particularly between developers, including by informing each other of the identification of critical vulnerabilities in order to prevent their wide distribution. They should also make efforts to improve the quality and availability of resources in the field of AIS development, including by increasing the availability of data (including labeled data), ensuring the compatibility of the developed AIS where applicable and creating conditions for the formation of a national school for the development of AI technologies that includes publicly available national repositories of libraries and network models, available national development tools, open national frameworks, etc. They are also encouraged to share information on the best practices in the development of AI technologies and organize and hold conferences, hackathons and public competitions, as well as high school and student Olympiads. They should increase the availability of knowledge and encourage the use of open knowledge databases, creating conditions for attracting investments in the development of AI technologies from Russian private investors, business angels, venture funds and private equity funds while stimulating scientific and educational activities in the field of AI by participating in the projects and activities of leading Russian research centers and educational organizations.

Published by AI Alliance Russia in Artificial Intelligence Code of Ethics, Oct 26, 2021

· 5. INTERESTS OF AI TECHNOLOGIES DEVELOPMENT OUTWEIGH THE INTERESTS OF COMPETITION

5.1. Accuracy of AI systems comparisons. In order to maintain fair competition and effective cooperation of developers, AI Actors are encouraged to use the most reliable and comparable information about the capabilities of AI systems with regards to a certain task and ensure the uniformity of measurement methodologies when comparing AI systems with one another. 5.2. Development of competencies. AI Actors are encouraged to follow practices adopted in the professional community, maintain a proper level of professional competence required for safe and effective work with AI systems and promote the improvement of professional competence of experts in the field of AI, i.a. within programs and educational disciplines on AI ethics. 5.3. Cooperation of developers. AI Actors are encouraged to cooperate within their community and among developers in particular, i.a. through informing each other about the identification of critical vulnerabilities in order to prevent them from spreading, and make efforts to improve the quality and availability of resources in the field of AI systems development, i.a. by: • increasing the availability of data (including marked up data), • ensuring the compatibility of the developed AI systems where applicable; • creating conditions for the formation of a international school of AI technologies development, including publicly available repositories of libraries and network models, available development tools, open international frameworks, etc.; • sharing information about the best practices of AI technologies development; • organizing and hosting conferences, hackathons and public competitions, as well as high school and student Olympiads, or participating in them; • increasing the availability of knowledge and encouraging the use of open knowledge databases; • creating conditions for attracting investments in AI technologies development from private investors, business angels, venture funds and private equity funds; • stimulating scientific, educational and awareness raising activities in the field of AI by participating in the projects and activities of leading research centers and educational organizations.

Published by AI Alliance Russia in AI Ethics Code (revised version), Oct 21, 2022 (unconfirmed)