在當代社會中，隨著人工智慧（AI）技術的迅速發展及應用，個人資料（個資）的需求不斷增加，帶來了嚴峻的隱私權保護挑戰，AI技術的應用不僅推動了技術創新和服務個性化，也引發了對個資安全和隱私保護的廣泛關注，這一背景促使本研究深入探討民眾對不同領域公司隱私權保譤信任程度的影響因素，以及這一信任程度背後的經濟意義和社會影響，AI的快速發展不僅增加了對個資的使用需求，同時也放大了隱私被侵犯的疑慮，在AI驅動的應用中，從基礎研究到商業實踐，均依賴於大量的個資收集和分析，本研究通過對台灣地區電信服務使用者的網路問卷數據分析，採用ANOVA和有序Probit模型進行統計分析，探討了消費者對於不同類型資訊機構的信任程度，研究發現，消費者是否詳細閱讀隱私條款、是否經歷過隱私侵犯的經驗、對個資保護的關心程度，以及性別等因素，均對其對資訊機構的信任度有顯著影響，具體來說，詳細閱讀隱私條款和高度關心個資保護的消費者，表現出較高的信任度，而有隱私侵犯經驗的消費者則對機構的信任度較低，顯示過往的負面經驗對信任感有顯著影響，這些發現強調了增強資訊透明度和加強隱私保護措施在提升公眾信任中的重要性，並建議政府與企業應共同努力，透過提高透明度、強化個人資料保護，以及提升公眾對隱私權議題的認知，建立一個更為安全且值得信賴的數據環境，這不僅有助於保護個人隱私，同時也是社會經濟健康發展和技術創新的基石。

This study explores factors influencing public trust in privacy protection across various sectors, focusing on the telecommunications industry in Taiwan. Using data from a 2017-2018 online survey of 4,524 respondents, the research employs ANOVA and Ordered Probit models to analyze trust levels in different institutions. Key findings reveal that factors such as age, education, income, privacy concern levels, and experience with privacy violations significantly impact trust. Notably, individuals who read privacy terms more thoroughly and those more concerned about data protection showed higher trust levels. The study emphasizes the importance of enhancing information transparency and strengthening privacy protection measures to build public trust. It suggests that governments and businesses should collaborate to improve transparency, enhance personal data protection, and raise public awareness of privacy issues. These efforts are crucial for creating a more secure and trustworthy data environment, which is essential for personal privacy protection and forms the foundation for healthy socio-economic development and technological innovation.

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