Communications of the ACM. Nov 2017, Vol. 60 Issue 11, p23, 3 p.
Electronic data processing -- Ethical aspects, Electronic data processing -- Practice, Professional ethics -- Analysis, and Science and ethics -- Analysis
Engaging the ethics of data science may involve considering how practitioners learn to think about and handle several trade-offs. These trade-offs relate to critics' insistence that normative issues pervade all work with data while leaving the issue of ethical agency unaddressed. Data scientists should be more forthcoming about all of the small choices that shape their decisions and systems.
Recently, a great amount of attention --both scholarly and popular--has been focused on implementing design thinking in schools (Norton Hathaway, 2015). A recent piece in The Atlantic, for example, notes [...]