We used fictitious resumes to find employer bias.
We used statistics to find bias in a healthcare algorithm.
Side by side these studies show why discrimination perpetrated by algorithms is so very different from discrimination perpetrated by people
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2,150 posts
Econ and EECS @ MIT
- Any discussion of re-opening the economy must recognize not all businesses are the same. Some contribute more to spread than others. Cellphone data can help identify them - see for yourself in our OpEd nyti.ms/3c8gm3q ๐งต
- We want algorithms that are simple and interpretable. We want algorithms that are fair A paper with Jon Kleinberg that shows why you probably can't have both arxiv.org/abs/1809.04578
- ๐งต1/ New paper: We argue machine learning should be used to generate truly novel hypotheses. The application: judge decision-making. We find a single factor is heavily related to who gets jailed: the defendantโs mugshot. What are judges looking at? Our method unpacks this...
- Our paper on how machine learning fits in econometric toolbox w/@jannspiess J.Econ.Perspectives bit.ly/2pF5OkN 1pic summary:
- Behaviorally informed edit: To be scientifically literate is to empower yourself to know when you yourself are full of shit.To be scientifically literate is to empower yourself to know when someone else is full of shit.
- 1/2 Exciting to announce this summer school in machine learning, economics and policy! Whether you want to work in this are or already do, it's a great way to learn new tools and get research ideas. bit.ly/3dz0YQH Amazing list of faculty already lined up +more to come
- Excessive force. Unnecessary arrests. The policing problem seems intractable. A new large-scale RCT with Chicago police offers a glimmer of hope. And insight into *one* overlooked reason (obviously not the only reason) for the problems of policing bit.ly/3Ex8Rmm๐งต
- Self-replication: We re-ran the studies from our 2012 scarcity paper with larger N: learned a lot - not everything replicates (though a lot does). osf.io/7z38r/ Would encourage others try self replication Any lab interested in replicating our work? (DM me)
- I rarely feel comfortable sharing personal stories in my columns, but this one was so apt I pushed past my reticence. Full column here: nyti.ms/2qqPUPW
- 1/3: Our recent @ScienceMagazine paper finds large racial bias in an important health care algorithm. We want to help fix the problem. If youโre at a health system or a manufacturer that wants to know more or do better โ contact us at [email protected] bit.ly/2BUSNKU
- Since science is entirely a team effort, I'm always a little skeptical of individual prizes. But the @InfosysPrize has a wonderful mission: "inspire young Indians to choose a vocation in research." And what an honor to contribute to that goal
- Heartbroken about police killings of African Americans, I dug into the data. It changed my thinking nyti.ms/1MIq8Jf









