關於本電子書
""AI Data"" explores the increasing role of artificial intelligence in education and its profound ethical implications. It investigates how student data is collected, processed, and used, often before careful consideration of privacy rights. The book highlights the growing use of algorithmic decision-making, where AI algorithms make critical decisions about students, and emphasizes the need for fairness, transparency, and accountability in AI deployment within educational settings. Did you know that seemingly innocuous data points, when aggregated, can create detailed student profiles? This raises concerns about potential misuse by educational institutions and third-party vendors discussed in the book. The book uniquely deconstructs the ""black box"" of AI in education, providing a framework for understanding the technical aspects of AI systems and evaluating potential biases.
""AI Data"" progresses systematically, starting with fundamental AI and data analytics concepts like machine learning, and then delving into data collection practices, algorithms, and ethical implications. It culminates in exploring solutions and best practices for responsible AI implementation, focusing on policy recommendations and technical safeguards.
為這本電子書評分
歡迎提供意見。
閱讀資訊
智慧型手機與平板電腦
筆記型電腦和電腦
你可以使用電腦的網路瀏覽器聆聽你在 Google Play 購買的有聲書。
電子書閱讀器與其他裝置
如要在 Kobo 電子閱讀器這類電子書裝置上閱覽書籍，必須將檔案下載並傳輸到該裝置上。請按照說明中心的詳細操作說明，將檔案傳輸到支援的電子閱讀器上。
