Media and Talks.
When machine-learning algorithms are deployed in high-stakes decisions, we want to ensure that it leads to fair and equitable outcomes. However, many machine predictions are deployed to assist in decisions where a human decision-maker retains the ultimate decision authority. In this episode of the CLE's vlog series, Prof. Talia Gillis (Columbia) and Prof. Alexander Stremitzer (ETH Zurich) discuss Gillis' study - joint with Bryce McLaughlin (Stanford) and Prof. Jann Spiess (Stanford) - on how properties of machine predictions affect the resulting human decisions.
We discuss ways to improve the fairness of AI/ML models with Michael Akinwumi, Talia Gillis & Peter Zorn.
In the venture capital industry, overwhelmingly white male investors provide funding to white male entrepreneurs. In Season 2 episode 4, Professor Eric Talley and Research Fellow Kate Waldock ’23 are joined by Columbia Law School professor Talia Gillis and co-founder of Act One Ventures Alejandro Guerrero to discuss how to build racial and gender equity into venture capital deals.
Washington, D.C. (November 17, 2021) – The Association of American Law Schools (AALS) has announced the winner of the 2022 AALS Scholarly Papers Competition for law school faculty members in the field for five years or fewer.
Discrimination in the U.S. credit market is well documented. Historically, minorities have disproportionately been denied loans, mortgages, and credit cards, or charged higher rates than other customers.
Algorithms can determine everything from what ads you see on the internet to the interest rates on your loan. And they aren’t always exactly fair. Nicol Turner Lee, a fellow at Brookings, and Talia Gillis, a Harvard graduate student, discuss what to do about algorithmic bias. Plus, Noah reflects on the latest Brexit news.
Talia Gillis has such a calm, friendly presence you’d never guess that she’s undertaking two doctoral programs while pregnant with twins and running around after a toddler at home.
Talia Gillis (Harvard University) talks about her recent paper 'Big Data and Discrimination' (co-authored with Jann Spiess, see https://ssrn.com/abstract=3204674) in a video interview conducted by Prof Horst Eidenmüller (University of Oxford) for the Oxford Business Law Blog.