Category: Diversity, Equity & Inclusion

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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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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AI Solutions to Change Your Business

Accountability, Autonomous Vehicles, Banking & Finance, Bias, Business, Ethical Framework, Fortune 500, Guide, Healthcare, Robotics, Technology Sector, Transparency

Author: N/A; Publisher: Accenture; Publication Year: N/A. The following framework is unique in that it is not published by a third party, a data ethics organization, or an educator. Rather, this is the ethical framework…
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Algorithmic Injustice: A Relational Ethics Approach

Algorithmic Injustice, Algorithmic Systems, Disproportionally-Impacted Communities, Efficiency, Justice, Methodology, Personhood, Predictions, Relationality, Social Outcomes, Social Sphere, Vulnerable Populations

Author: Abeba Dirhane; Publisher: CellPress Open Access; Publication Year: 2021. The following paper focuses on how it has become trivial to point out that algorithmic systems increasingly pervade the social sphere. Improved efficiency—the hallmark of…
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Reducing Bias in AI-Based Financial Services

Accuracy, Artificial Intelligence, Banking & Finance, Bias, Data Governance, Data Governance Programs, Discrimination, Ethical Data Frameworks, Fairness, Gender, Machine Learning, Modeling, Predictions, Race

Author: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions.…
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5 Ethical Principles for Digitizing Humanitarian Aid

Artificial Intelligence, Big Data, Colonialism, Consent, Data Collection, Digitalization, Drones, Ethical Frameworks, Humanitarians, Indigenous Artificial Intelligence, Inequity, Nia Tero, Satellite Sentinel Project, Unrest Technologies, Vulnerable Populations

Author: Aarathi Krishnan; Publisher: TED Talks; Publication Year: 2021. The following speech discusses how humanitarians have embraced digitalization. The use of AI, big data, drones, and more may seem logical and needed, but it is…
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What Is Data Ethics and How Can Storage Improve Ethics Best Practices?

Access Control, Accountability, Availability, Consumer Rights Laws, Data Governance, Data Privacy, Ethical Data Usage, Ethical Framework, Fairness, Individual Data, Integrity, Risks, Transparency, Usability

Author: N/A; Publisher: Pure Storage; Publication Year: N/A. The following article introduces the topic of data ethics by stating that it answers the questions “how can our organization collect, store, and use data ethically?” and…
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