Conference paper by Tristan Henderson.
Presented at CEP ’19 Proceedings of the 3rd Conference on Computing Education Practice.
This paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for addressing these issues. To do this, the module includes interdisciplinary content from ethics, law and computer science, and also adopts some teaching methods from the law. I describe the format of the module, challenges with module design and approval, some initial comments on the first year’s cohort, and plans for future improvements. I believe that the topic is currently important and this discussion might be of interest to other computer science departments considering the introduction of similar content.