Tepperspectives is the heart of thought leadership for the Tepper School of Business at Carnegie Mellon University. Tepper school faculty and other experts share their research, innovations, and ideas for The Intelligent Future℠.
Article
Yan Huang reveals how Zillow's Zestimate, despite occasional algorithmic bias and varying accuracy across neighborhoods, benefits both buyers and sellers in underserved areas by reducing market uncertainty and improving transaction outcomes, even potentially lessening existing inequality compared to human-only systems.
July 25, 2025
Article
Emily Diana explores algorithmic bias in machine learning and outlines three intervention stages: pre-processing, in-processing, and post-processing to mitigate algorithmic discrimination.
July 18, 2025
Article
Companies using AI agents should develop and implement ethical standards for transparency, user education, and accountability and embrace responsibility for its impact.
February 13, 2025