I am a researcher, writer, and educator working at the intersections of data, technology, culture, and ethics.

This is my website.

News & Updates

Luke Stark and I had the chance to share our work on data metaphors and ethics in Quartz. Check it out!

My paper, Where Fairness Fails: Data, Algorithms, and the Limits of Antidiscrimination Discourse, is now available online! It is included as part of a special issue of Information, Communication, and Society on “Data Justice” - I’m thrilled to be a part of it!

Luke Stark and I have new work out in the Journal of Cultural Analytics. The article - “Data is the New What? Popular Metaphors & Professional Ethics in Emerging Data Cultures” - uses discourse analysis to examine the relationship between “data metaphors,” values, and professional ethics for data scientists.

At the end of April, I took part in the community panel discussion “Connecting the Dots: Racism and White Supremacy in Algorithmic Systems,” organized by the UW Critical Platform Studies Group. You can view a recording of the discussion here.

I was recently quoted in the OneZero article “The Problem With Instagram’s Plan to Reduce Sexually Suggestive Content: It’s Sexist.”

I have an op-ed in the Seattle Times arguing against dangerous and permissive language on facial recognition technology being condsidered by the Washington state Legislature. tl;dr - We should reject it and demand nothing less than a moratorium.

Along with Dan Greene and Luke Stark, our paper “Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning” was presented at HICSS (Jan, 2019).

Thrilled to announce that the National Science Foundation has funded a proposal for which I am a co-PI. The project - “Emerging Cultures of Data Science Ethics in the Academy and Industry” - is a three-institution collaboration, led by Deirdre Mulligan (UC Berkeley), Karen Levy and Solon Barocas (Cornell), and myself (UW).