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Tools for data ethics. This covers various kind of tools, from legal documents to machine learning algorithms, to help having a more ethical data science practice.
Aequitas was created by the Center for Data Science and Public Policy at the University of Chicago.
An open source bias audit toolkit for machine learning developers, analysts, and policymakers to audit machine learning models for discrimination and bias, and make informed and equitable decisions around developing and deploying predictive risk-assessment tools.
Project maintained by the friendly folks at DrivenData
deon is a command line tool that allows you to easily add an ethics checklist to your data science projects.
Creating a new, standalone checklist file or appending a checklist to an existing analysis
Data for Democracy: A community of data people volunteering on social impact projects.
Data for Democracy’s Global Data Ethics Pledge is a global initiative aimed at creating the industry’s most widely adopted framework and community for ethics in data science.
Agrawal D., Bernstein P., Bertino E., Davidson S., Dayal U., Franklin M., .... Widom J. (2012)
A community white paper developed by leading researchers across the United States
H. V. Jagadish, Bernard A Galler Collegiate Professor, Electrical Engineering and Computer Science, University of Michigan
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.
GOV.UK, Department for Digital, Culture, Media & Sport
Our new Data Ethics Framework sets out clear principles for how data should be used in the public sector. It will help us maximise the value of data whilst also setting the highest standards for transparency and accountability when building or buying new data technology.
MATILDA is a research platform developed via the project “Stress-testing algorithms: generating new test instances to elicit insights”