Ethical Artificial Intelligence in the European Union Context: Visualization for Policymaking and Decision Processes

Davor Ljubenkov
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Abstract

Based on its success with the standardized Global System for Mobile Communications (GSM) telephony in the 1990s and the General Data Protection Regulation (GDPR) in the 2010s, the European Union (EU) is putting a lot of effort in regulating Artificial Intelligence (AI) and its widespread usage. A term of ethical AI has emerged, and numerous national, European and global guidelines have recently been published, in the hope of creating a unified framework set to be used and implemented across EU and the globe.However, a highly convoluted nature of legislative procedures regarding emerging technologies makes it increasingly complicated to map out ethical AI properties and guidelines. Hence, a holistic and data-driven approach towards AI policy-making is proposed. In order to help EU policymakers and lawmakers, ethical AI principles of explainability and autonomy will be contextualized and visualized. Data contextualization is achieved using secondary datasets based on the systematic literature review, while data visualization is implemented in a form of a compact digital dashboard, using Python programming language and its associated visualization libraries.Goal of the suggested comprehensive solution is to simplify and streamline future decision processes regarding AI topics exclusively from policymakers’ perspective. This will indeed shape Europe’s digital future and foster trustworthy strategic leadership regarding AI technologies, which is likely to make EU lead by example and become a globally adopted practice.
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欧盟背景下的伦理人工智能:政策制定和决策过程的可视化
基于20世纪90年代标准化的全球移动通信系统(GSM)电话和2010年代的通用数据保护条例(GDPR)的成功,欧盟(EU)正在努力规范人工智能(AI)及其广泛使用。道德人工智能一词已经出现,最近发布了许多国家、欧洲和全球指南,希望创建一个统一的框架,在欧盟和全球范围内使用和实施。然而,关于新兴技术的立法程序非常复杂,这使得制定人工智能的道德属性和指导方针变得越来越复杂。因此,提出了一种全面的、数据驱动的人工智能决策方法。为了帮助欧盟的政策制定者和立法者,可解释性和自主性的道德人工智能原则将被语境化和可视化。数据上下文化使用基于系统文献综述的辅助数据集实现,而数据可视化以紧凑的数字仪表板的形式实现,使用Python编程语言及其相关的可视化库。建议的综合解决方案的目标是简化和简化未来关于人工智能主题的决策过程,仅从政策制定者的角度出发。这确实将塑造欧洲的数字未来,并在人工智能技术方面培养值得信赖的战略领导力,这可能会使欧盟以身作则,并成为全球采用的做法。
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