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℠.
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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
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Wearable technology and artificial intelligence offers a transformative approach to personalized opioid use disorder treatment, when strategically deployed, can optimize care and improve outcomes, particularly in mid-risk patient populations.
June 18, 2025
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As private digital currencies emerge, how can nations navigate the digitization of payments to maintain currency dominance and foster global economic cooperation?
June 4, 2025