About Me

I’m a Researcher and Technical Lead on the Applied Systems Team at The Center for AI Standards and Innovation located within the National Institute of Standards and Technology (NIST) where I am supported by the TechCongress AI Safety Fellowship. Before this, I completed a PhD at Brown University with Seny Kamara (with mentorship from Suresh Venkatasubramanian). During that time, I also worked at IBM Research, Adobe, and Arthur AI. For my undergraduate studies, I went to the University of Maryland – College Park where I studied Computer Science and Mathematics.

My research addresses the challenges of evaluating AI Systems. Specifically, I work on the design, implementation, and analysis of algorithms that identify failures or risks posed by AI, with specific focus on evaluating AI systems under uncertainty in real-world settings. The high level goals of this work are to (1) make AI more responsible and trustworthy, and (2) develop ideas that address emerging challenges at the intersection of computation and society.

Research

• Observing Context Improves Disparity Estimation when Race is Unobserved
  Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian
  AIES ‘24 [link]
• The Misuse of AUC: What High Impact Risk Assessment Gets Wrong
  Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian
  FAccT ‘23 [link]
• Repairing Regressors for Fair Binary Classification at Any Decision Threshold
  Kweku Kwegyir-Aggrey, Jessica Dai, A. Feder Cooper, Keegan Hines 
  Workshop on Optimal Transport and Machine Learning; Workshop on Algorithmic Fairness Through the Lens of Time at Thirty-Seventh Annual Conference on at Neurips ’23 (Oral) [link]
• Model Selection’s Disparate Impact in Real-World Deep Learning Applications
  Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Christopher De Sa, Michael Littman
  Science of Deep Learning Workshop at ICLR ‘21 (Oral) [link]

Misc

• When I’m not doing research, I play the bass (!) and try to listen to as much music as I can. Here are some albums I’m really into at the moment (in no particular order):
  • No Beginning No End – Jose James [2012]
  • Corinne Bailey Rae (Self-Titled) [2006]
  • Absolutely – Dijon [2021]
  • Calico – Ryan Beatty [2023]