Ten simple rules for building and maintaining a responsible data science workflow

Sara Stoudt · Yacine Jernite · Brandeis H. Marshall · Ben Marwick · Malvika Sharan · Kirstie Jane Whitaker +1 more

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Ethics and Social Impacts of AI Research Data Management Practices Scientific Computing and Data Management

Abstract

Contributors and beneficiaries of data-intensive research have become increasingly concerned about social and ethical risks from data science and machine learning applications

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2019Dissecting racial bias in an algorithm used to manage the health of populations 2019The global landscape of AI ethics guidelines 2011False-Positive Psychology 2021On the Opportunities and Risks of Foundation Models 1974The Sociology of Science: Theoretical and Empirical Investigations 2017A manifesto for reproducible science 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 2016Jupyter Notebooks – a publishing format for reproducible computational workflows

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