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℠.
Opinion
Tepper School Professor Zoey Jiang argues that generative AI can make less-skilled workers more productive, but experts or highly skilled workers may see productivity decline. However, strategies such as upskilling, tailored tool design, and continuous feedback can help companies better integrate AI.
August 8, 2025
Opinion
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 24, 2025
Opinion
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 17, 2025