Category: Code of Ethics

Sports Analytics: An Ethical Assessment of Current Regulations, Current Sources of Risk, and Future Sources of Risk

Anticipatory Governance Framework, Biometric Data, Data Collection, Future Orientation, National Football League Players Association, Personal Information, Social Knowledge, Sports Industry, Technical Knowledge, Unintended Consequences, Value Judgement

Author: Alanna Flores; Publisher: School of Engineering and Applied Sciences, University of Virginia; Publication Year: 2020. The following resource suggests that the collection of biometric data has incredibly personal information that is often mistreated, and…
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An Ethical Checklist for Data Science

Achieving Sustainable Results, Analysis, Building the Team, Data Collection, Data Science, Implementation, Project Selection & Scoping, Social Impact

Author: Alan Fritzler; Publisher: Data Science for Social Good; Publication Year: N/A. The following article provides a framework for key questions data scientists should ask themselves as they pursue their projects. The article argues that…
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Inequality in the Data Science Industry

Algorithms, Automation, Bias Avoidance, Gender Differences, Hard-Coded Racism, Malicious Actors, Recidivism Rates, Representation in Training Datasets, Weapons of Math Destruction

Author: Aisulu Omar; Publisher: Towards Data Science; Publication Year: 2022. The following article discusses how data scientists should be more cognizant of the role they play in organizations. Their skill set as a tool can…
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An Evaluation of the Job Landscape and Trends in AI Ethics

Artificial Intelligence, Demographic Bias, Geographic Bias, Job Landscape, Private Sector, Statistics

Author: Quentin J Louis, Joshua Walker, Katherine Lai, Victoria Matthews, Kitty Atwood, Susanna Raja, Ayomikun Bolaji; Publisher: Data Ethics 4 All; Publication Year: 2022. The following resource is an in-depth evaluation with three recommendations including…
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6 Ethical Issues in Healthcare in 2020

Artificial Intelligence, Big Data, Customized Medicine, Dehumanizing Patients, Ethical Issues, Financial Management, Healthcare, Medical Emergencies, Patient Privacy, Population Health Data, Robotics

Author: N/A; Publisher: AdventHealth University; Publication Year: 2020. The following article highlights 6 ethical issues in healthcare in 2020 (and beyond). The ethical issues are 1). taking advantage of Big Data without dehumanizing patients; 2).…
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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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FTC Sues Data Broker for Letting People Track Health Clinic Visitors

Abortion, Federal Trade Commission, Justice, Kochava, Law, Personal Health, Personal Safety, Roe v. Wade, Selling Data

Author: Adi Robertson; Publisher: The Verge; Publication Year: 2022. The following article discusses a recent lawsuit brought by the Federal Trade Commission (FTC) against a company called Kochava that was selling data, which in some…
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Mapping AI and Data Ethics

Artificial Intelligence, Data Justice, Data Visualizations, Disciplinary Isolation, Ethical Relevance, Non-Dominant Perspectives, Responsible Artificial Intelligence

Author: N/A; Publisher: The Ada Lovelace Institute; Publication Year: N/A. The following resource explains the major challenge in mapping AI and data ethics concerns what constitutes AI and data ethics in the first place. The…
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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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