The utilization of artificial intelligence (AI) applications has experienced tremendous growth in recent years, bringing forth numerous benefits and conveniences. However, this expansion has also provoked ethical concerns, such as privacy breaches, algorithmic discrimination, security and reliability issues, transparency, and other unintended consequences. To determine whether a global consensus exists regarding the ethical principles that should govern AI applications and to contribute to the formation of future regulations, this paper conducts a meta-analysis of 200 governance policies and ethical guidelines for AI usage published by public bodies, academic institutions, private companies, and civil society organizations worldwide. We identified at least 17 resonating principles prevalent in the policies and guidelines of our dataset, released as an open-source database and tool. We present the limitations of performing a global scale analysis study paired with a critical analysis of our findings, presenting areas of consensus that should be incorporated into future regulatory efforts. All components tied to this work can be found in https://nkluge-correa.github.io/worldwide_AI-ethics/

翻译：近年来，人工智能（AI）应用的使用量急剧增长，带来了诸多便利与益处。然而，这种扩张也引发了一系列伦理问题，例如隐私泄露、算法歧视、安全与可靠性问题、透明度以及其他非预期后果。为确定全球范围内是否已就应指导AI应用的伦理原则达成共识，并为未来法规的制定提供依据，本文对全球公共机构、学术机构、私营企业及民间社会组织发布的200项AI治理政策与伦理指南进行了元分析。我们识别出至少17项在数据集的各类政策与指南中广泛共鸣的原则，该数据集已作为开源数据库与工具发布。我们阐述了开展全球规模分析研究时的局限性，并结合对研究结果的批判性分析，指出了应纳入未来监管工作的共识领域。与本工作相关的所有组件均可访问https://nkluge-correa.github.io/worldwide_AI-ethics/获取。