人工智慧倫理測驗發展-以雙北市技術型高中電機電子群學生為例

Abstract

科技逐漸崛起，除了技術的成熟度，連帶的也開始將注意力集中於倫理中，在未來人類是否將被機器反噬，這也是各個國家開始正視的問題，至今人工智慧技術尚未穩固，許多國家已將人工智慧技術與倫理融合入教育中。本研究為了瞭解學生對人工智慧倫理的認知，以雙北市技術型高中電機電子群學生為研究樣本，根據各國所宣布之人工智慧倫理細則與宣言理論基礎，編制人工智慧倫理測驗，進行問卷調查研究法，所獲得有效樣本為204筆。依據回收樣本資料，透過統計量化分析處理。本研究主要結論：一、研究者自行開發的人工智慧倫理測驗具備優良的信度與效度，未來研究者可使用與推廣；二、公立學校與私立學校受試者於人工智慧符合倫理構面與穩定性構面具顯著差異。本研究之研究結果與結論，可提供教育行政單位與學校行政單位做參考，期盼瞭解資訊相關科系學生對人工智慧倫理之理解，以提高未來學生對人工智慧之認知。

The gradual rise of science and technology, in addition to the maturity of technology, the associated also began to focus on ethics, in the future whether human beings will be eaten by machines, this is also a problem that various countries have begun to face, so far artificial intelligence technology has not yet been stable, many countries have integrated artificial intelligence technology and ethics into education. In order to understand students' understanding of artificial intelligence ethics, this study takes the students of the electrical and electronic group of New Taipei City and Taipei City’s Vocational Senior High School as the research sample, compiles the artificial intelligence ethics test according to the theoretical basis of the artificial intelligence ethics rules and declarations announced by various countries, and conducts a questionnaire investigation and research method, the effective samples obtained are 204. Based onthe recovered sample data, it is processed through statistical quantitative analysis. The main conclusions of this study are: (a) the artificial intelligence ethics test developed by the researchers has excellent reliability and validity, which future researchers can use and popularize. (b) the significant differences between the public school and private school in the ethical structure and stability of artificial intelligence in artificial intelligence. The results and conclusions of this study can provide reference between educational administrative units and school administrative units, and look forward to understanding the artificial intelligence ethics among students in information-related departments in order to improve the students' understanding of artificial intelligence in the future.