Ending Affirmative Action Harms Diversity Without Improving Academic Merit
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Emma Harvey
PhD student @ Cornell Info Sci | Sociotechnical fairness & algorithm auditing
evh29 [at] cornell [dot] edu | Google Scholar |
CV
Hi! I’m a PhD student in Information Science at Cornell, where I study fairness in sociotechnical systems with Allison Koenecke and Rene Kizilcec, and am a member of the AI, Policy, and Practice (AIPP) working group. I am also a research assistant on the "Expanding AI Audits" team as part of the Sloane Lab, and have previously worked as a research intern at Microsoft FATE and collaborated on research with the Algorithmic Justice League and the Compliant and Accountable Systems Group at the University of Cambridge.
I'm also really excited about teaching ethical AI - most recently, I co-led a Responsible AI course with David Danks for UCSD's Data Science Capstone.
Previously, I worked as a data scientist at a consulting firm, where I focused on conducting real-world algorithm audits. I received my BA in Computer Science and Philosophy, Politics, & Economics from the University of Pennsylvania.
In my free time, you can find me reading vaguely upsetting novels (recommendations always welcome!) or running very slowly.
News
| 10/24 | Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems is accepted to the EvalEval Workshop at NeurIPS'24 |
| 7/24 | Ending Affirmative Action Harms Diversity Without Improving Academic Merit is accepted to EAAMO'24 |
| 6/24 | En route to Brazil for FAccT'24, where I am serving as Scheduling Co-Chair this year |
| 5/24 | I am relocating to Seattle this summer for a research internship with Microsoft FATE |
| 4/24 | Improving Group Fairness Assessments with Proxies is accepted to ACM JRC |
| 4/24 | The Cadaver in the Machine received a Best Paper Honorable Mention at CHI'24 |
| 1/24 | The Cadaver in the Machine is accepted to CHI'24 |
| 12/23 | Towards an Educator-Centered Method for Measuring Bias in Large Language Model-Based Chatbot Tutors is accepted for a spotlight talk at the AAAI'24 Workshop on AI for Education |
| 4/23 | I will be starting my PhD this fall as part of Cornell’s information science program |
| 4/22 | Who Audits the Auditors? is accepted to FAccT'22 |
Publications
* denotes equal contribution
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
ACM CHI conference on Human Factors in Computing Systems (CHI), 2024
Improving Group Fairness Assessments with Proxies
ACM Journal on Responsible Computing (JRC), 2024
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022
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