Data Ethics Repository

Tag: Implementation

A Guide for Ethical Data Science

Accountability, Data Management, Data Science, Harm Avoidance, Human Oversight, Implementation, Professional Competence, Project Planning, Trustworthiness

Author: Institute and Faculty of Actuaries; Publisher: Royal Statistical Society; Publication Year: 2019. The following article is a very well designed code of ethics that revolves around its defined 5 major themes of data ethics:…
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Ethical Frameworks for AI Aren’t Enough

Artificial Intelligence, Implementation, Metrics, Quantifying Potential Harm

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2020. The following article describes how many organizations have adopted a set of high-level principles to ensure that their AI makes decisions in an ethical fashion…
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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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