This article appears as chapter 21 of Prince (2023, Understanding Deep Learning); a complete draft of the textbook is available here: http://udlbook.com. This chapter considers potential harms arising from the design and use of AI systems. These include algorithmic bias, lack of explainability, data privacy violations, militarization, fraud, and environmental concerns. The aim is not to provide advice on being more ethical. Instead, the goal is to express ideas and start conversations in key areas that have received attention in philosophy, political science, and the broader social sciences.

翻译：本文作为Prince《理解深度学习》（2023）第21章内容发表；该教材完整草稿可参见http://udlbook.com。本章探讨人工智能系统设计与应用过程中可能产生的潜在危害，包括算法偏见、可解释性缺失、数据隐私侵犯、军事化应用、欺诈问题及环境隐患。本文目的并非提供关于提升伦理性的建议，而是旨在阐释相关理念，并引发对哲学、政治学及更广泛社会科学领域所关注核心议题的讨论。