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The key word in data science is "data". As data scientists, we have access to a vast amount of information that relates to the public and private lives of our fellow human beings. As ''human centered'' data scientists, we want to make sure that the work we do with this data respects the people it relates to, adhering to both legal requirements and ethical best practices. That's what we'll be discussing in the second week of Human-Centered Data Science, discussing copyright, federal criminal law and the sociological definition of "creepy". | |||
== Legalities == | |||
=== Copyright and licensing === | |||
=== Terms of Service === | |||
== Privacy and ethics == | |||
=== Informed consent === | |||
=== Expectations of privacy === | |||
=== Harm === | |||
Revision as of 19:11, 14 September 2017
The key word in data science is "data". As data scientists, we have access to a vast amount of information that relates to the public and private lives of our fellow human beings. As human centered data scientists, we want to make sure that the work we do with this data respects the people it relates to, adhering to both legal requirements and ethical best practices. That's what we'll be discussing in the second week of Human-Centered Data Science, discussing copyright, federal criminal law and the sociological definition of "creepy".
