| Autor: |
Ljubenkov, Davor |
| Rok vydání: |
2021 |
| Zdroj: |
Ljubenkov, D 2021, Ethical Artificial Intelligence in the European Union Context : Visualization for Policymaking and Decision Processes . in 2021 14th CMI International Conference-Critical ICT Infrastructures and Platforms (CMI) ., 9663855, IEEE, 2021 14th CMI International Conference-Critical ICT Infrastructures and Platforms (CMI), København, Denmark, 25/11/2021 . https://doi.org/10.1109/CMI53512.2021.9663855 |
| DOI: |
10.1109/cmi53512.2021.9663855 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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