Abstract

Achieving the global benefits of artificial intelligence (AI) will require international cooperation on many areas of governance and ethical standards, while allowing for diverse cultural perspectives and priorities. There are many barriers to achieving this at present, including mistrust between cultures, and more practical challenges of coordinating across different locations. This paper focuses particularly on barriers to cooperation between Europe and North America on the one hand and East Asia on the other, as regions which currently have an outsized impact on the development of AI ethics and governance. We suggest that there is reason to be optimistic about achieving greater cross-cultural cooperation on AI ethics and governance. We argue that misunderstandings between cultures and regions play a more important role in undermining cross-cultural trust, relative to fundamental disagreements, than is often supposed. Even where fundamental differences exist, these may not necessarily prevent productive cross-cultural cooperation, for two reasons: (1) cooperation does not require achieving agreement on principles and standards for all areas of AI; and (2) it is sometimes possible to reach agreement on practical issues despite disagreement on more abstract values or principles. We believe that academia has a key role to play in promoting cross-cultural cooperation on AI ethics and governance, by building greater mutual understanding, and clarifying where different forms of agreement will be both necessary and possible. We make a number of recommendations for practical steps and initiatives, including translation and multilingual publication of key documents, researcher exchange programmes, and development of research agendas on cross-cultural topics.

Highlights

  • Artificial intelligence has been identified as a key suite of technologies for many countries worldwide, in large part motivated by its general-purpose nature (Brynjolfsson and McAfee 2014)

  • The prominence of North America, Europe, and East Asia is further seen in the leadership and composition of multi-stakeholder and nongovernmental initiatives such as the Partnership on artificial intelligence (AI),7 the Future Society,8 the International Congress for the Governance of AI,9 and the Global Partnership on AI (Hudson 2019).10A large majority of the most prominent conferences on AI ethics and governance have taken place in these regions, including the US-based Beneficial AI conference series,11 the Beijing Academy of AI Conference series,12 the Beijing Forum,13 the US-based Artificial Intelligence, Ethics, and Society conferences,14 governance and ethics workshops attached to the leading machine learning conferences, and many more

  • Concerns over the use of AI in warfare have been the subject of high-profile campaigns by experts across academia and civil society internationally, such as those involved in the International Committee for Robot Arms Control (ICRAC) and the Campaign to stop Killer Robots

Read more

Summary

Introduction

Artificial intelligence has been identified as a key suite of technologies for many countries worldwide, in large part motivated by its general-purpose nature (Brynjolfsson and McAfee 2014). The prominence of North America, Europe, and East Asia is further seen in the leadership and composition of multi-stakeholder and nongovernmental initiatives such as the Partnership on AI, the Future Society, the International Congress for the Governance of AI, and the Global Partnership on AI (Hudson 2019).10A large majority of the most prominent conferences on AI ethics and governance have taken place in these regions, including the US-based Beneficial AI conference series, the Beijing Academy of AI Conference series, the Beijing Forum, the US-based Artificial Intelligence, Ethics, and Society conferences, governance and ethics workshops attached to the leading machine learning conferences, and many more.

Barriers to Cross-cultural Cooperation on AI
Overcoming These Barriers to Cooperation
Finding Ways to Cooperate Despite Disagreements
Putting Principles into Practice
Recommendations
Limitations and Future
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.