Data Interpretation

Big Data Ethics and Politics: Toward New Understandings

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Author: Wenhong Chen, Anabel Quan-Haase; Publisher: Social Science Computer Review; Publication Year: 2018. The following article addresses new issues created by big data, such as biases, subjectivities, and forms of oppression. They define 4 major aspects of big data ethics and politics: 1). Potential biases in big data collection and interpretation, 2). Community and citizen concerns of big data (mis)use in public life and for journalistic purposes, 3). Media…

Ethics and Data Science

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Author: Mike Loukides, Hilary Mason, DJ Patil; Publisher: O’Reilly; Publication Year: 2018. The following book focuses on implementing ethical guidelines into data scientists’ daily work. The authors provide 5 framing guidelines: consent, clarity, consistency, control, and consequences. It is important that the authors address the whole cycle of data science. They address ethical issues throughout data collection, modeling, model…

Why You Should Have an AI & Ethics Board

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Author: Jack Berkowitz; Publisher: Information Week; Publication Year: 2022. The following article discusses how before using consumer data, technology companies need to evaluate if they need to use the data. Companies and organizations need to question where their data originates and how the algorithms interpret that data. In that data lies potential ethical risks, biases, and unintended consequences. It is important to think…