Category: Diversity, Equity & Inclusion

The Ethics of Big Data as a Public Good: Which Public? Whose Good?

Big Data, Data Sharing, Digital Data, Public Good, Responsible Data Movement

Author: Linnet Taylor; Publisher: The Royal Society; Publication Year: 2016. The following article describes how international development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of…
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A Data Science Take on Open Policing Data

Data Quality, Policing, Self-Reporting Bias

Author: N/A; Publisher: Linear Digressions; Publication Year: 2020. The following podcast episode discusses how the quality of data around policing is hit-and-miss based on region. Reporters of data are those being scrutinized, so there is…
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Justice for “Data Janitors”

Amazon, Artificial Intelligence, Automation, Data Cleaning, Displaced Work, Machine Learning, Mechanical Turk, Training Data

Author: Lilly Irani; Publisher: Public Books; Publication Year: 2015. The following article describes how when things in the technology world become automated, the work that is being “replaced” is not actually replaced, but displaced. For…
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The Ethics of Data Science

Automation, Data Citizens, Decision-Making, Human Impact, Ledgers, Machine Intelligence, Micro-Targeting, Personal Data, Private Data

Author: Lee Schlenker; Publisher: Medium; Publication Year: 2019. The following article introduces the concept of data science by first stating the importance and the reach that data scientists have in the world. Data scientists help…
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The Ethics of Using Social Media Data in Research: A New Framework

Data Collection, Facebook, Social Media, Twitter

Author: Leanne Townsend, Claire Wallace; Publisher: Emerald Insight; Publication Year: 2017. The following book chapter talks about how over the past decade, the number of people engaging with social media has grown rapidly. This means…
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Our Data Ethics: Measure What Matters and Don’t Be Creepy

Accountability, Autonomy, Collective Benefit, Context, Reciprocity, User Data

Author: Lauren Peate; Publisher: Multitudes; Publication Year: 2021. The following article and video discuss how when starting a new company that uses lots of user data, it is important to have a good set of…
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Crunching the Numbers on Diversity in Data Science: Events & Resources to Foster Inclusion

Data Science, Enrollment Data, Ethnic Bias, Gender Bias, Racial Bias, Representation

Author: Laramie Paxton; Publisher: Medium; Publication Year: 2020. The following article describes how data science is currently one of the most attractive jobs due to job availability and competitive salaries, but it has a diversity…
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Data Science Ethics – What Could Go Wrong and How to Avoid It

Accessible, Consent, Consumer Data, Consumer Privacy, Discrimination, Fairness, Fairness Accountability Transparency, Findable, Interoperable, Reusable, Transparency

Author: Kylie Ying; Publisher: freeCodeCamp; Publication Year: 2021. The following article discusses how the notion of informed consent quickly fades in a business setting, where it may be in fine print or even without our…
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DynamoFL Aims to Bring Privacy-Preserving AI to More Industries

DynamoFL, Federated Learning, Machine Learning, Malicious Actors, Sensitive Data, Training Data

Author: Kyle Wiggers; Publisher: TechCrunch+; Publication Year: 2022. The following article covers how federated learning allows machine learning (ML) models to be trained on sensitive data without having it housed on multiple different servers and/or…
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