Ethics in AI becomes a global topic of interest for both policymakers and academic researchers. In the last few years, various research organizations, lawyers, think tankers and regulatory bodies get involved in developing AI ethics guidelines and principles. However, there is still debate about the implications of these principles. We conducted a systematic literature review (SLR) study to investigate the agreement on the significance of AI principles and identify the challenging factors that could negatively impact the adoption of AI ethics principles. The results reveal that the global convergence set consists of 22 ethical principles and 15 challenges. Transparency, privacy, accountability and fairness are identified as the most common AI ethics principles. Similarly, lack of ethical knowledge and vague principles are reported as the significant challenges for considering ethics in AI. The findings of this study are the preliminary inputs for proposing a maturity model that assess the ethical capabilities of AI systems and provide best practices for further improvements.
翻译:过去几年来,各种研究组织、律师、思想油轮和监管机构参与制定大赦国际的道德准则和原则,然而,对这些原则的影响仍有争论;我们进行了系统的文献审查,以调查关于大赦国际原则重要性的协议,并查明可能对采用大赦国际道德原则产生不利影响的具有挑战性的因素;结果显示,全球趋同由22项道德原则和15项挑战组成;透明度、隐私、问责制和公平被确定为大赦国际最常见的道德原则;同样,据报告,缺乏道德知识和模糊原则是大赦国际考虑道德的重大挑战;这项研究的结果是提出成熟模式的初步投入,该模式将评估大赦国际系统的道德能力,并为进一步改进提供最佳做法。