School of Business, Menlo College, Atherton, CA, USA.
Faculty of Law, Tarbiat Modares University, Tehran, Iran.
Sci Eng Ethics. 2024 Mar 7;30(2):9. doi: 10.1007/s11948-024-00472-6.
As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance. This study critically examines 57 policy documents pertaining to ethical AI originating from 24 distinct countries, employing a combination of computational text mining methods and qualitative content analysis. The primary objective is to methodically identify common themes throughout these policy documents and perform a comparative analysis of the ways in which various governments give priority to crucial matters. A total of nineteen topics were initially retrieved. Through an iterative coding process, six overarching themes were identified: principles, the protection of personal data, governmental roles and responsibilities, procedural guidelines, governance and monitoring mechanisms, and epistemological considerations. Furthermore, the research revealed 31 ethical dilemmas pertaining to AI that had been overlooked previously but are now emerging. These dilemmas have been referred to in different extents throughout the policy documents. This research makes a scholarly contribution to the expanding field of technology policy formulations at the national level by analyzing similarities and differences among countries. Furthermore, this analysis has practical ramifications for policymakers who are attempting to comprehend prevailing trends and potentially neglected domains that demand focus in the ever-evolving field of artificial intelligence.
随着越来越多的国家政府采取政策来应对人工智能的伦理影响，对这些主题的政策文件进行比较分析可以为新兴关注点和共同关注领域提供有价值的见解。本研究批判性地审查了来自 24 个不同国家的 57 份与伦理人工智能相关的政策文件，采用了计算文本挖掘方法和定性内容分析的组合。主要目标是系统地识别这些政策文件中的共同主题，并对各国优先考虑关键事项的方式进行比较分析。最初共检索到十九个主题。通过迭代编码过程，确定了六个总体主题：原则、个人数据保护、政府角色和责任、程序指南、治理和监督机制以及认识论考虑。此外，研究还揭示了 31 个以前被忽视但现在正在出现的人工智能伦理困境。这些困境在政策文件中有不同程度的提及。本研究通过分析各国之间的相似点和差异，为国家层面的技术政策制定这一日益扩大的领域做出了学术贡献。此外，对于试图理解当前趋势和人工智能这一不断发展领域中可能被忽视的领域的政策制定者来说，这种分析具有实际意义。
