Privacy Resources

  • Disparities in Students’ Propensity to Consent to Learning Analytics. Use of university students’ educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases are unintentionally introduced into predictive models. This study finds that students identifying ethnically as Black were significantly less likely to respond and self-reported lower levels of institutional trust. Female students reported concerns with data collection but were also more comfortable with use of their data by instructors for learning engagement purposes. Students’ comments corroborate these findings and suggest that agency alone is insufficient; institutional leaders and instructors also play a large role in alleviating the issue of bias.

    Warren Li, Kaiwen Sun, Florian Schaub & Christopher Brooks; International Journal of Artificial Intelligence in Education (2021)

    Topic(s): Learning Analytics
    Type: Article
  • RO100 FERPA at U-M. This 30-minute eLearning course teaches U-M faculty, researchers, staff, and students how to responsibly handle student data in accordance with FERPA (Family Educational Rights and Privacy Act).

    Topic(s): Awareness and Education, U.S. Laws
    Type: Course
  • Three Student Privacy Conversation Starters. Higher education’s increasingly complex technology and data landscape has brought student privacy issues to the front pages of national publications. Yet, engaging students in conversations about privacy remains elusive. In this session, we will discuss three ways the University of Michigan has sought to raise students’ privacy awareness and empowerment. Hear an administrator's and a student’s perspective on how these three efforts started and evolved.

    Presentation at the Arizona State University Digital Trust Summit by Svetla Sytch and Julia Silverman. June 2021.

    Topic(s): Awareness and Education
    Type: Video
  • 100 Best Data Privacy Books of All Time. Privacy book ratings based on public mentions, recommendations, ratings and sentiment (Book Authority)

    Topic(s): Awareness and Education, Ethics, History, International Laws, Online Privacy, Privacy Professionals, Privacy Protection, Surveillance, Technology, U.S. Laws
    Type: Book
  • Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information. This 2019 Pew Research Center report finds that majorities think their personal data is less secure now, that data collection poses more risks than benefits, and believe it is not possible to go through daily life without being tracked.

    Topic(s): Awareness and Education
    Type: Article
  • Ask a Chief Privacy Officer, Sol Bermann, former Chief Privacy Officer and current Chief Information Security Officer for the University of Michigan answers questions about the growing need for privacy management, the policies and laws in place to protect our privacy, and how big data has changed the game. EDUCAUSE, July 2019.

    Topic(s): International Laws, Online Privacy, Technology, U.S. Laws
    Type: Video
  • Building Ethics into Privacy Frameworks for Big Data and AI. In this 2018 report, the The United Nations Global Pulse and the International Association of Privacy Professionals explore big data, new technologies, new analytical approaches and the risks to privacy, fairness, equality, and due process.

    Topic(s): Ethics, Learning Analytics, Privacy Professionals, Technology
    Type: Article
  • Choose Privacy Every Day. An American Library Associations project to promote privacy awareness, with resources for librarians and the general public.

    Topic(s): Privacy Protection
    Type: Blog
  • Coded Bias. Automated decision making has the unprecedented power to disseminate bias at scale. The artificial intelligence algorithms that power facial-recognition and decision-making software already often decide who gets hired, who gets health care, who gets home loans, and who gets undue police scrutiny. Coded Bias tells the story of mathematicians and data scientists who are leading the fight for ethical use of these and future technologies. The film starts with the fallout from an MIT Media Lab researcher’s discovery that facial recognition does not identify dark-skinned faces and women's faces accurately, then follows her journey to push for the first legislation in the U.S. to govern against bias in the algorithms.

    Topic(s): Ethics, Technology
    Type: Film
  • Data Privacy Day 2021 Outreach: Six Words about Privacy. Boiling thoughts down to six words highlights what people consider to be the most important dimensions of a topic. On Data Privacy Day 2021, we look into the topic of privacy through the lens of the University of Michigan's Six Words about Privacy project. EDUCAUSE, January 2021.

    Topic(s): Awareness and Education
    Type: Article