Ethics and Politics of Computational Social Science

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Presentation transcript:

Ethics and Politics of Computational Social Science Joy Rohde Associate Professor, Public Policy and History and Interim Director, Science, Technology, and Public Policy Program joyrohde@umich.edu

Roadmap You should care about big data ethics Big data poses new and challenging problems for research Privacy, autonomy (consent), justice and fairness Resources to learn more

Bigness and potential harm Volume Data are people… Variety and granularity who can be identified, stigmatized… Durability for a long time… Velocity quickly and widely.

Potential for harm “The relative ease in engaging multitudes of distributed human subjects (or data about them) through intermediating systems speeds the potential for harms to arise, and extends the range of stakeholders who may be impacted.” D. Dittrich and E. Kenneally, "The Menlo Report: Ethical Principles Guiding Information and Communication Technology Research," Tech. rep., U.S. Department of Homeland Security, Aug 2012.

Privacy Deidentification is not foolproof “There is no way to make personal information in databases fully anonymous” (National Research Council, 2008). Privacy matters for specific reasons that deserve protection: Freedom of thought and expression Protect vulnerable and stigmatized individuals and groups Support socially valuable institutions

How can we think about privacy? Situational and contextual rather than public/private binary Right to privacy “is neither the right to secrecy nor a right to control but a right to appropriate flow of personal information.” Helen Nissenbaum, Privacy in Context: Technology, Policy, and the Integrity of Social Life (2010)

Autonomy Informed consent? Is it feasible? When is it non-coerced?

Digital Ethical Reasoning Is not a box to check Is contextual, ongoing, iterative Matters because data are people and research with them affects their chances in life

Getting Started Association of Internet Researchers ethics resources, https://aoir.org/ethics/ S. Barocas and d. boyd, “Engaging the ethics of data science in practice,” Communications of the ACM 60 (11), 23-25. M. C. Benigni et al. “Online extremism and communities that sustain it,” PLoS One 12.2 (2017). d. boyd and Kate Crawford, “Critical Questions for Big Data,” Information, Communication, and Society 15 (2012): 662-679. J. Lane, et al., Privacy, Big Data, and the Public Good (2014).