Category: Diversity, Equity & Inclusion

The Ethics of Algorithms

Data Curation, Data Usage, Verifiable Data

Author: Paula Derrow; Publisher: Rutgers Magazine; Publication Year: 2022. The following article provides the idea that we should be more focused on “data curation.” This is the idea that more care should be given to…
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The BOTT Framework for Practical Data Ethics

Artificial Intelligence, BOTT Framework

Author: Paul Wilton; Publisher: Data Language; Publication Year: 2020. The following framework is for ensuring data ethics in artificial intelligence (AI). BOTT represents bias (analysis of potential bias that may be baked into the model…
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Beyond Good Intentions: Navigating the Ethical Dilemmas Facing the Technology Industry

AI Trust, Business Processes, Data Privacy, Data Usage

Author: Paul Silvergate; Publisher: Deloitte. Insights; Publication Year: 2021. The following resource from Deloitte that plots stats for 5 ethics concerns and what people care about at the moment (in October 2021). The article includes…
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Fighting Bias in AI With Ethics Training

Artificial Intelligence, Biased AI, Data Collection, Ethical Algorithms, Google, Microsoft

Author: Paul Mah; Publisher: CDO Trends; Publication Year: 2022. The following article describes how according to a recent study, over $77.5 billion was invested in artificial intelligence (AI) in 2021. But with the growth of…
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Seven Legal Questions for Data Scientists

Agency, Artificial Intelligence, Fairness, Negligence, Security, Third-Party, Transparency

Author: Patrick Hall, Ayoub Ouederni; Publisher: O’Reilly; Publication Year: 2021. The following article poses 7 legal questions that data scientists should address before they deploy artificial intelligence (AI). Answering these questions should help you better…
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My Data and Design Ethics Manifesto

Agnostic Innocuousness, Artificial Intelligence, Bad Algorithms, Facebook Russian Election Scandal, Human Bias, Malicious Actors, PageRank Algorithm

Author: Ovetta Sampson; Publisher: Medium; Publication Year: 2018. The following article discusses how bad algorithms compounded with bad actors have caused much technological harm over the past few years. The Facebook Russian Election scandal went…
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Explore Community Technology: Questioning our Digital Environment

Collaborative Design, Community Infrastructure, Community Technology, Digital Justice, Digital Stewardship, Participatory Learning, Self-Governance, Sustainability

Author: N/A; Publisher: Community Technology Field Guide; Publication Year: N/A. The following field guide is a collective resource for digital stewardship, digital justice, and community infrastructure. It consists of a neighborhood network construction kit, activities…
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Data Ethics Framework

Accountability, Fairness, Project Life Cycle, Transparency

Author: N/A; Publisher: gov.uk; Publication Year: 2020. The following framework created by the UK government in 2020 is meant to be used throughout a full life cycle of a project. The framework is broken down…
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Eight Best Books on AI Ethics and Bias

AI Bias, AI Ethics

Author: Nivash Jeevanandam; Publisher: India AI; Publication Year: 2022. The following article provides a list and brief summary of eight books that address AI ethics and bias…
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