Teaching Computer Ethics: A Deeply Multidisciplinary Approach
Teaching Computer Ethics: A Deeply Multidisciplinary Approach
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教授计算机伦理：深入的多学科方法
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Hilary Cohen
中科院分区：
文献类型：
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作者：
R. Reich;M. Sahami;J. Weinstein;Hilary Cohen
我们报道斯坦福大学的一项课程实验，重点是教授计算机伦理学。经过近一年的准备，我们在伦理、公共政策和技术的交叉点开设了一门新课程，将人文科学、社会科学和计算机科学紧密结合在一起。虽然计算机伦理课程的教学可以追溯到几十年前，但这些课程通常是由一个（单一的）计算机科学教师教授的，没有受过重要的伦理培训，不包括政策部分，而且是为计算机科学学生准备的。相比之下，我们采取了深入的多学科方法，其中三位来自哲学，政治学和计算机科学的教师讲师各自将各自的视角带入四个相关课程模块：算法决策，数据隐私和公民自由，人工智能和自主系统，以及平台公司的力量。来自学术界、工业界、民间社会和政府的演讲嘉宾小组提供了从业者对所讨论主题的看法。此外，定制案例研究是在课程工作人员的指导下开发的。这些材料（演讲小组的视频和案例研究）可供更广泛的社区免费使用。我们报告课程结构的细节，包括如何在整个课程中整合多个学科，包括讲座、讨论和作业。我们讨论了课程中运作良好的方面，以及使课程广泛使用（不仅仅是CS专业）的挑战。重要的是，我们还包括了学生对课程反应的讨论，表明一个深入的多学科方法与他们产生了强烈的共鸣。
We report on a curricular experiment at Stanford University focused on teaching computer ethics. After nearly a year of preparation, we launched a new course at the intersection of ethics, public policy, and technology that deeply marries the humanities, social sciences, and computer science. While the teaching of computer ethics courses dates back decades, such courses are often taught by a (single) CS faculty member without significant training in ethics, do not include a policy component, and are meant for CS students. By contrast, we take a deeply multidisciplinary approach, where three faculty instructors, from philosophy, political science, and CS, each bring their respective lens to four related course modules: algorithmic decision-making, data privacy and civil liberties, AI and autonomous systems, and the power of platform companies. Panels of guest speakers drawn from academia, industry, civil society, and government provide a practitioner's view of the topics addressed. Additionally, custom case studies were developed under the direction of the course staff. These materials (videos of the speaker panels and the case studies) are freely available for use by the broader community. We report on the details of the course structure, including how multiple disciplines are integrated throughout the course, including lectures, discussions, and assignments. We discuss aspects of the course that worked well as well as challenges in making the course broadly accessible (beyond just CS majors). Importantly, we also include a discussion of students' response to the course, showing that a deeply multidisciplinary approach resonates strongly with them.