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  • 2021
  • Working Paper

G.I. Joe Phenomena: Understanding the Limits of Metacognitive Awareness on Debiasing

By: Ariella S. Kristal and Laurie R. Santos
Knowing about one’s biases does not always allow one to overcome those biases— a phenomenon referred to as the G. I. Joe fallacy. We explore why knowing about a bias doesn’t necessarily change biased behavior. We argue that seemingly disparate G. I. Joe... View Details
Keywords: Biases; Judgment; Decision-making; Nudge; Debiasing; Illusions; Prejudice and Bias; Decision Making; Behavior; Change
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  • October 2021
  • Article

Changing Gambling Behavior through Experiential Learning

By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
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  • Research Summary

Overview

Given the difficulty of directly debiasing cognitive and social biases, Ariella's research focuses on how environments can be structured to reduce biased behaviors and outcomes. Ariella is currently pursuing two main strands of research: the first is a focus on... View Details
  • 2018
  • Article

Overcoming Barriers to Time-Saving: Reminders of Future Busyness Encourage Consumers to Buy Time

By: A. V. Whillans, Elizabeth W. Dunn and Michael I. Norton
Spending money on time-saving purchases improves happiness. Yet, people often fail to spend their money in this way. Because most people believe that the future will be less busy than the present, they may underweight the value of these purchases. We examine the impact... View Details
Keywords: Consumer Choice; Sharing Economy; Opportunity Cost; Time-as Money; Well-being; Time Management; Happiness; Perception; Behavior
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  • 08 May 2025
  • HBS Seminar

Ramesh Johari, Stanford

  • May 2022
  • Case

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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  • June 2020
  • Article

In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors

By: M. Jeong, J. Minson and F. Gino
Negotiation scholarship espouses the importance of opening a bargaining situation with an aggressive offer, given the power of first offers to shape concessionary behavior and outcomes. In our research, we identify a surprising consequence to this common prescription.... View Details
Keywords: Attribution; Interpersonal Interaction; Judgment; Social Interaction; Inference; Open Data; Open Materials; Preregistered; Negotiation Offer; Strategy; Behavior; Interpersonal Communication; Trust; Outcome or Result
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  • October 2023
  • Teaching Note

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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  • 28 Jul 2020
  • Research & Ideas

Racism and Digital Design: How Online Platforms Can Thwart Discrimination

through algorithms. Algorithms can be debiased by altering their inputs, but doing so requires managers to think about their goals around diversity and fairness. For example, LinkedIn redesigned its recruitment search tool to ensure that... View Details
Keywords: by Kristen Senz; Travel; Entertainment & Recreation; Service
  • 03 Apr 2018
  • First Look

New Research and Ideas, April 3, 2018

less busy than the present, they may underweight the value of these purchases. We examine the impact of debiasing this previously unexplored barrier of consumer decisions to "buy time" in a field experiment with a U.S.-based... View Details
Keywords: Sean Silverthorne
  • 12 Jun 2018
  • First Look

New Research and Ideas, June 12, 2018

to believe they are high ability update on entirely uninformative signals. When we remove self-serving motives, agents appear completely (or much more) rational. Biases due to motivated errors survive standard debiasing interventions... View Details
Keywords: Dina Gerdeman