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Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies
Interdisciplinary Science Reviews ( IF 1.1 ) Pub Date : 2021-03-07 , DOI: 10.1080/03080188.2020.1840220
Inga Ulnicane 1 , Damian Okaibedi Eke 1 , William Knight 1 , George Ogoh 1 , Bernd Carsten Stahl 1
Affiliation  

ABSTRACT

Recent advances in Artificial Intelligence (AI) have led to intense debates about benefits and concerns associated with this powerful technology. These concerns and debates have similarities with developments in other emerging technologies characterized by prominent impacts and uncertainties. Against this background, this paper asks, What can AI governance, policy and ethics learn from other emerging technologies to address concerns and ensure that AI develops in a socially beneficial way? From recent literature on governance, policy and ethics of emerging technologies, six lessons are derived focusing on inclusive governance with balanced and transparent involvement of government, civil society and private sector; diverse roles of the state including mitigating risks, enabling public participation and mediating diverse interests; objectives of technology development prioritizing societal benefits; international collaboration supported by science diplomacy, as well as learning from computing ethics and Responsible Innovation.



中文翻译:

善政是对不满情绪的回应?Déjàvu,或其他新兴技术的AI课程

摘要

人工智能(AI)的最新进展引发了关于这种强大技术带来的利益和关注的激烈辩论。这些关注和辩论与其他新兴技术的发展具有相似性,其特点是影响和不确定性突出。在这种背景下,本文提出了以下问题:人工智能的治理,政策和伦理学可以从其他新兴技术中学到什么,以解决问题并确保人工智能以对社会有益的方式发展?从有关新兴技术的治理,政策和道德的最新文献中,可以得出六个教训,重点是包容性治理,而政府,民间社会和私营部门应保持平衡和透明地参与;国家的各种作用,包括减轻风险,促进公众参与和调解各种利益;以社会利益为重的技术发展目标;在科学外交的支持下进行国际合作,并从计算伦理学和负责任的创新中学习。

更新日期:2021-03-08
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