Category: 2019

Good Data

Criminology, Data Science, Digital Humanities, Digital Media, Interdisciplinary, Justice, Law, Philosophy, Political Science, Public Health, Renewable Energy, Social Media, Sociology

Author: Angela Daly, S. Kate Devitt, Monique Mann; Publisher: Insitute of Network Cultures (Google Books); Publication Year: 2019. The following book moves away from critiquing bad data and instead brainstorms a more optimistic vision of…
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The AI Transparency Paradox

Algorithms, Artificial Intelligence, Bad Actors, Financial Risk, Reverse Engineering, Social Risk, Transparency

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2019. The following article describes how there are risks to achieving AI transparency. First, corporations often expose themselves to financial risk by publicizing what they are…
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Operationalizing Data Ethics in the Financial Services Sector

Algorithms, Artificial Intelligence, Banking & Finance, Financial Management

Author: N/A; Publisher: Allen & Overy; Publication Year: 2019. The following article discusses how like almost all industries, financial services is also being revolutionized by data and artificial intelligence algorithms, but artificial intelligence has its…
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One-Year Reflection On The GDPR: Who Really Benefits From Data Protection?

Browser Privacy, Data Protection, Data Use, European Union, GDPR, General Data Protection Regulation, Legislation, User Personalization, User Protection

Author: Alexian Chiavegato; Publisher: Forbes; Publication Year: 2019. The following article takes a critical look through a one-year reflection on the General Data Protection Regulation (GDPR) that was passed by the European Union. The GDPR,…
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Brands, Celebrities, Data Processing, Data Sources, Decision-Making, Economics, Ethical Considerations, Healthcare, Public Policy, Social Data, Social Issues

Author: Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman; Publisher: Frontiers; Publication Year: 2019. The following article discusses how the promises of social data are many, including understanding “what the world thinks” about a social…
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How to Interview a Tech Company: A Guide for Students

Analytics, Corporate Ethics, Data Science, Equity, Job Search, Perpetuating Disparities, Students

Author: N/A; Publisher: AI Now Institute; Publication Year: 2019. The following article has readers consider the importance of how a company acts ethically or unethically, or even if there are considerations in place. As we…
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Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection

Beneficence, Coercion, Current Problems, Data Abuse, Data Collection, Data-Driven Research, Henrietta Lacks, Informed Consent, Privacy, Statistics, Tuskegee Experiment, Voluntariness

Author: Adriene Hill; Publisher: Crash Course; Publication Year: 2019. The following video provides important background on the context and consequences of data-driven research relative to the foundational elements of statistics. It also provides links to…
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Building Data and AI Ethics Committees

Committee on Data, Domain Knowledge, Ethical Review Process, Ethics Committee, Framework

Author: N/A; Publisher: Accenture, Northeastern University Ethics Institute; Publication Year: 2019. The following framework on page 15 of this document outlines what a “hypothetical committee on data use might look like” with 9 people at…
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Big Data: Destroyer of Informed Consent

Big Data, Data Collection, Data Science Studies, Data Scientists, Informed Consent, Machine Learning Algorithms, Regulation, Virtual

Author: A. Michael Froomkin; Publisher: Yale Journal of Health Policy, Law & Ethics, and Yale Journal of Law & Technology; Publication Year: 2019. The following article focuses on how a regulation was changed in 2019…
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