Data Science: professional ethics in data science

Data Science: professional ethics in data science

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Data Science: professional ethics in data science
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How the ASA Ethical Guidelines for Statistical Practice include data science and 'data ethics'
Rochelle Tractenberg – Georgetown University and the Collaborative for Research on Outcomes and -Metrics, United States
Data Science: professional ethics in data science

Leone Wardman-ONS

Organized by Tom King and Andy Garrett on behalf of the Data Ethics Special Interest Group and the Data Science Section

Big data presents new challenges for statisticians: data can be accessed directly without permission. Professional responsibilities and ethical behavior must therefore be established and ethical considerations must be embedded in the workflow. Corporate codes and regulations play a role, but may be outdated, while professionals also have a responsibility to society to do the right thing. Both the RSS and ASA have investigated this and the RSS DSS working group with IFoA will report its findings. The ASA established a code in 2016 and has since been working on materials to help statisticians put it into practice. This is an opportunity to discuss the professional implications for the practice of statisticians and data scientists.

Speakers:

Leone Wardman, US

Rochelle Tractenberg, Georgetown

Rob Mastrodomenico, RSS Professional Affairs Committee

Data Science stream sponsored by Deloitte

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