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Publications

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  • January–February 2022
  • Article

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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  • April 2024
  • Article

Decision Authority and the Returns to Algorithms

By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details
Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States
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  • 2020
  • Working Paper

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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  • 2025
  • Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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  • October 2019
  • Article

Making Sense of Recommendations

By: Michael Yeomans, Anuj Shah, Sendhil Mullainathan and Jon Kleinberg
Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer... View Details
Keywords: Recommender Systems; Artificial Intelligence; Interpretability; Information Technology; Forecasting and Prediction; Decision Making; Attitudes
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  • 2024
  • Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details
Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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  • 2021
  • Article

Fair Influence Maximization: A Welfare Optimization Approach

By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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  • 06 Oct 2015
  • First Look

October 6, 2015

themselves and the charity, they respond very similarly to self risk and charity risk. By contrast, when their decisions force tradeoffs between money for themselves and the charity, participants act more averse to charity risk and less... View Details
Keywords: Sean Silverthorne
  • 31 Jul 2023
  • News

Striving for Imperfection

Subscribe on iTunes Subscribe on Spotify More Skydeck episodes Since he left HBS in 1990, Charles Conn (MBA 1990) has built a full and varied portfolio career. Early on, he was a partner at McKinsey and then a tech executive, founding Ticketmaster-Citysearch. Today,... View Details
Keywords: Management of Companies and Enterprises; Management
  • 21 Nov 2017
  • First Look

First Look at New Research and Ideas, November 21, 2017

reviews from Yelp.com, we construct an adjusted average rating and show that even a simple algorithm can lead to large information efficiency gains relative to the arithmetic average. Publisher's link:... View Details
Keywords: Sean Silverthorne
  • 27 Jan 2016
  • Research & Ideas

A Politician's Investment Portfolio Might Tip Off Corruption Potential

percent stocks for the scandal free. Split another way, politicians holding more than 50 percent stocks were almost twice as likely to be involved in a scandal compared to their more risk averse counterparts. Personal investments that... View Details
Keywords: by Roberta Holland
  • 01 Dec 2015
  • News

Case Study: Bionic Banking

(Thinkstock/Getty Images) Robo-advisors, like Betterment and Wealthfront, are built for millennials-automated asset management for those with lower account balances or an aversion to traditional financial advisors. Silicon Valley has... View Details
  • 05 Nov 2024
  • Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

to replicate the unique characteristics of a specific person’s writing style, says Prithwiraj Choudhury, the Lumry Family Associate Professor of Business Administration at Harvard Business School. “We trained an algorithm to write using... View Details
Keywords: by Ben Rand; Information Technology; Technology
  • 02 Feb 2016
  • First Look

February 2, 2016

Organization Tax Aversion in Labor Supply By: Kessler, Judd B., and Michael I. Norton Abstract—In a real-effort laboratory experiment, labor supply decreases more with the introduction of a tax than with a financially equivalent drop in... View Details
Keywords: Sean Silverthorne
  • 01 Jun 2018
  • News

Up by the Roots

bakery cranks out cookies—New York now holds a demonstrable lead over Silicon Valley in terms of fintech investment in the United States. According to CB Insights, a New York startup that uses algorithms to collect and analyze data on... View Details
Keywords: Alexander Gelfand; illustrations by Dan Page
  • Web

Print View - Course Catalog

companies like Videa Health, Metaphysic and Instadeep that are applying AI to more specific problems (Dentistry, Movie/TV production, Route optimization etc.) We also look at the power of algorithms to shape consumer behavior (TikTok),... View Details