Why International Ethics Will Survive the Crisis of the Liberal International Order

Acharya, Amitav

doi:10.1353/sais.2019.0001

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…Another challenge for effective cooperation is balancing the need for global cooperation with the need for culturally and geographically sensitive differentiated approaches (Hagerty and Rubinov 2019). It is crucial we avoid a situation where one or two nations simply try to impose their values on the rest of the world (Acharya 2019). In certain specific domains, for example where AI is being used to support the delivery of healthcare, different cultures may perceive tradeoffs very differently (Feldman et al 1999), and it may be not just possible but necessary to implement region-specific standards and governance.…”

Section: The Role Of North America Europe and East Asia In Shaping mentioning

confidence: 99%

Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance

et al. 2020

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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.

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Section: The Role Of North America Europe and East Asia In Shaping mentioning

confidence: 99%