Investigate the ethical issues in computer science that ultimately also pertain to data science, including privacy, plagiarism, intellectual property rights, piracy, security, confidentiality, and many other issues.
Your study of these issues will begin broadly, with a look at ethical issues in computer science at large. We will then make inferences to the narrower field of data science. We will consider ethical arguments and positions, the quality and integrity of decisions and inferences based on data, and how important cases and laws have shaped the legality, if not the morality, of data science-related computing. We will use case studies to investigate these issues.
Upon completing this course, you will be able to:
- Identify and analyze social, legal, and ethical issues in computer science and in the subfield of data science.
- Interpret and apply a professional code of ethics relevant to the data science profession.
- Interpret the activities and choices of others within an ethical framework and determine an appropriate action based on standards of professional conduct within computer science.
Prerequisites: DS 740: Data Mining & Machine Learning
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