A Comparative Study on Ethics Guidelines for Artificial Intelligence Across Nations

Tony Szu Hsien Lee, Shiang Yao Liu, Yin Ling Wei, Li Yun Chang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

This study aimed to investigate the commonality and differences among AI research and development (R&D) guidelines across nations. Content analysis was conducted on AI R&D guidelines issued by more economically developed countries because they may guide the trend of AI-based applications in education. Specifically, this study consisted of three phases: 1) information retrieval, (2) key term extraction, and (3) data visualization. First, Fisher’s exact test was employed to ensure that different AI R&D guidelines (e.g., the latest ones in the US, EU, Japan, Mainland, and Taiwan) were comparable. Second, the Key Word Extraction System was developed to retrieve essential information in the guidelines. Third, data visualization techniques were performed on key terms across multiple guidelines. A word cloud revealed the similarity among guidelines (e.g., key terms that these guidelines share in common) while a color-coding scheme showed the differences (e.g., occurrence of a key term across guidelines and its frequency within a guideline). Importantly, three key terms, namely, AI, human, and development, are identified as essential commonality across guidelines. As for key terms that only extracted from particular guidelines, interestingly, results with the color-coding scheme suggested that these key terms were weighted differently depends on the developmental emphasis of a nation. Collectively, we discussed how these findings concerning ethics guidelines may shed light on AI research and development to educational technology.

原文英語
主出版物標題Innovative Technologies and Learning - Third International Conference, ICITL 2020, Proceedings
編輯Tien-Chi Huang, Ting-Ting Wu, João Barroso, Frode Eika Sandnes, Paulo Martins, Yueh-Min Huang
發行者Springer Science and Business Media Deutschland GmbH
頁面289-295
頁數7
ISBN(列印)9783030638849
DOIs
出版狀態已發佈 - 2020
事件3rd International Conference on Innovative Technologies and Learning, ICITL 2020 - Porto, 葡萄牙
持續時間: 2020 十一月 232020 十一月 26

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12555 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議3rd International Conference on Innovative Technologies and Learning, ICITL 2020
國家葡萄牙
城市Porto
期間2020/11/232020/11/26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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