Center for Values in Medicine, Science and Technology Lecture Series - Casey Fiesler: Data Is People: Ethical Considerations in Data Collection and Use

Wednesday, February 27, 2019, 7:30 p.m.
Venue: JO 2.604
Admission: Free
Season: 2017-18


Center for Values in Medicine, Science and Technology Lecture Series: The Promise and the Peril of Artificial Intelligence

About the Lecture:

Your tweets, blog posts, photos, reviews, and dating profiles are all potentially being used for science. Though much of this research stems from social science and purposefully engages with the human aspects of online content, in many cases this human-created content simply becomes “data”—particularly for the creation of training datasets for machine learning algorithms. In these kinds of contexts—from algorithms trained on dating profile photos to recognize gender to algorithms that can predict mental health conditions from your tweets—traditional ethical oversight such as university Institutional Review Boards often does not apply. But what is the line between “data” and human subjects research? In this talk, I draw from my recent empirical work to argue that the current ethical metrics that many researchers use to determine whether it is okay to collect or use online content are all wrong, particularly when it comes to the “publicness” of data or whether collection is allowed by Terms of Service agreements. I discuss findings from studies of user perceptions of researchers’ use of tweets, analysis of social media TOS, and interviews with members of vulnerable online communities. I will also touch on the broader landscape of technology ethics when it comes to data re-use, and argue for a fundamental shift in how we teach ethics to future technologists and researchers. 

 

About the Author:

Dr. Casey Fiesler is an assistant professor and founding faculty in the Department of Information Science at University of Colorado Boulder. Armed with a PhD in Human-Centered Computing from Georgia Tech and a JD from Vanderbilt Law School, she primarily conducts research at the intersection of social computing and regulation, including social norms, internet law, research ethics, and ethics education. She is currently part of the NSF-funded PERVADE (pervasive data ethics for computational research) project, devoted to empirical research to inform best practices for social computing and big data research. She is a Senior Fellow at the Silicon Flatirons Center for Law, Technology and Entrepreneurship, a faculty associate at the Berkman Klein Center for Internet and Society at Harvard, and a member of the legal committee for the Organization for Transformative Works.


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