Category: 2018

Why Data Scientists Should Make a Commitment to Diversity

Algorithms, Fairness

Author: N/A; Publisher: Information Week; Publication Year: 2018. The following article emphasizes the power that data scientists hold when addressing ethics, as many big companies employ them to create impactful algorithms and recommendations. Specifically, data…
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Player Tracking Coming to the NHL? It’s Complicated

Data Privacy, National Hockey League, Rugby, Wearable Data Device

Author: Greg Wyshynski; Publisher: ESPN; Publication Year: 2018. In the following article, before diving into the ethical concerns of data usage in the NHL, the author turns to rugby. The kicker of a recent rugby…
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General Data Protection Regulation

Consent, Data Collection, Data Usage, Encryption, European Union, General Data Protection Regulation, Marketing, Proliferation, Right to Be Forgotten, Right to Be Informed

Author: N/A; Publisher: Intersoft Consulting; Publication Year: 2018. The following document discusses how the General Data Protection Regulation is a fundamental document that imposes regulations in the European Union regarding data collection, usage, and proliferation.…
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Infografia Data Ethics Checklist

Agile Methodology, Consent, Cybersecurity, Ethical Practice, Machine Learning Algorithms, Privacy-First, Project Planning, Third-Party, Transparency

Author: N/A; Publisher: Eticas Foundation; Publication Year: 2018. The following infographic provides 9 main checklist items to go over when considering data ethics for a project. These include: 1). Team roles identified; 2). Project fully…
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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science

Data Statements, Natural Language Processing Technology

Author: Emily M. Bender, Batya Friedman; Publisher: MIT Press Direct; Publication Year: 2018. In the following paper, data statements are proposed as a design solution and professional practice for natural language processing technologists, in both…
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The Five Cs: Five Framing Guidelines to Help You Think About Building Data Products

Consent, Consistency, Transparency, Unintended Consequences

Author: DJ Patil, Hilary Mason, Mike Loukides; Publisher: O’Reilly; Publication Year: 2018. The following article provides 5 guidelines to help build data products in a professional way. These include 1). Consent (making sure you have…
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Aspects of Data Ethics in a Changing World: Where Are We Now?

Algorithms, Cheap Storage Capacity, Consent, Data Availability, Data Collection, Data Confidentiality, Data Ownership, Personal Data, Purpose of Use

Author: David J. Hand; Publisher: Mary Ann Liebert, Inc.; Publication Year: 2018. The following article discusses how data availability, cheap storage capacity, and powerful tools for extracting information from data have the potential to significantly…
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The Role of Corporations in Addressing AI’s Ethical Dilemmas

Artificial Intelligence, Audit Trails, Border Enforcement, Government Surveillance, Military, Racial Bias, Review Panels, Social Credit Systems, Training Programs

Author: Darrell M. West; Publisher: Brookings; Publication Year: 2018. The following article examines 5 artificial intelligence (AI) ethical dilemmas: weapons and military-related applications, law and border enforcement, government surveillance, issues of racial bias, and social…
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Doing Data for Good Right

Data Analysis, Data Context, Data-for-Good, Ethical Choices, Limits, Pro-Bono, Quantifying Potential Harm

Author: Christine Henry; Publisher: DataKind; Publication Year: 2018. The following article features DataKind (a data-for-good organization) outlining their data code of ethics for being a pro-bono data scientist. They emphasize that ethics is always important,…
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