Scan barcode
mburnamfink's review
4.0
Ethics and Data Science has two important virtues of being free and short, which make it a decent starting place for a conversation about ethics and data science. However, it doesn't do much to advance the conversation beyond hoary tropes to "do better" with caring for user data.
The basic premise is that programming ethics is more than a code or an oath, it's a daily practice that can made explicit by checklists to question the assumptions going into your program, and "five Cs" to follow, in treating customer data as your own personal data.
Getting ethics right is important. Facebook's Cambridge Analytica related scandals are only the tip of the data iceberg. But I'm not sure that 20th century ideals of informed consent have much to say about the sheer combinatorial velocity of data in the 21st century.
The basic premise is that programming ethics is more than a code or an oath, it's a daily practice that can made explicit by checklists to question the assumptions going into your program, and "five Cs" to follow, in treating customer data as your own personal data.
Getting ethics right is important. Facebook's Cambridge Analytica related scandals are only the tip of the data iceberg. But I'm not sure that 20th century ideals of informed consent have much to say about the sheer combinatorial velocity of data in the 21st century.
cbru1011's review
5.0
Helpful Primer
I was interested in learning more about Ethics in Data Science and Machine Learning. This book "got my feet wet" and pointed me toward more helpful resources.
I was interested in learning more about Ethics in Data Science and Machine Learning. This book "got my feet wet" and pointed me toward more helpful resources.
jasminesun's review
4.0
practical, short (<30 min), free.
primer on building ethical data products - not at all nuanced, but great starting point for students about to begin their first project (especially if in a sensitive domain). goes over concepts like DJ Patil's 5 Cs, basic case studies, and building ethics into process/culture.
the links were some of the most helpful resources (especially the UK's data ethics framework and workbook: https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework).
likely will incorporate into curriculum for a project-based public interest tech course at stanford.
primer on building ethical data products - not at all nuanced, but great starting point for students about to begin their first project (especially if in a sensitive domain). goes over concepts like DJ Patil's 5 Cs, basic case studies, and building ethics into process/culture.
the links were some of the most helpful resources (especially the UK's data ethics framework and workbook: https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework).
likely will incorporate into curriculum for a project-based public interest tech course at stanford.
More...