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  • All HBS Web  (1,130)
    • News  (183)
    • Research  (755)
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Show Results For

  • All HBS Web  (1,130)
    • News  (183)
    • Research  (755)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (497)
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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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Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
  • Article

Information or Opinion? Media Bias as Product Differentiation

By: Bharat Anand, Rafael Di Tella and Alexander Galetovic
Keywords: Information; Media; Prejudice and Bias; Product
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Anand, Bharat, Rafael Di Tella, and Alexander Galetovic. "Information or Opinion? Media Bias as Product Differentiation." Journal of Economics & Management Strategy 16, no. 3 (Fall 2007): 635–682.
  • December 2024
  • Article

Human Bias in the Oversight of Firms: Evidence from Workplace Safety Violations

By: Jonas Heese, Gerardo Pérez Cavazos and Andreya Pérez Silva
We study the effects of mood as a source of human bias on regulators’ oversight and enforcement decisions. We use weather at facilities at the time of an OSHA inspection to proxy for the OSHA compliance officers’ mood. We find that during periods of good mood due to... View Details
Keywords: Prejudice and Bias; Governing Rules, Regulations, and Reforms; Happiness; Working Conditions; Safety
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Heese, Jonas, Gerardo Pérez Cavazos, and Andreya Pérez Silva. "Human Bias in the Oversight of Firms: Evidence from Workplace Safety Violations." Review of Accounting Studies 29, no. 4 (December 2024): 3413–3448.
  • 17 Oct 2018
  • Research & Ideas

Pro Basketball Coaches Display Racial Bias When Selecting Lineups

basketball fan and a sociologist, began looking at the NBA several years ago as an ideal field in which to study the insidious effects of discrimination. “Racial bias is really hard to measure,” Zhang says.... View Details
Keywords: by Michael Blanding; Sports
  • 01 Sep 1979
  • Conference Presentation

Insecurity Begets Negativity: A Bias in Interpersonal Evaluation

By: Teresa M. Amabile
Keywords: Behavior; Emotions; Prejudice and Bias
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Amabile, Teresa M. "Insecurity Begets Negativity: A Bias in Interpersonal Evaluation." Paper presented at the Annual Convention of the American Psychological Association, American Psychological Association, New York, September 01, 1979.
  • 01 Apr 2019
  • What Do You Think?

Does Our Bias Against Federal Deficits Need Rethinking?

scanrail SUMMING UP: Is Modern Monetary Theory a Fancy Term for Today’s Reality? Modern monetary theory (MMT) is “silly thinking” (Andy), “a totally unproven theory” (Alex), a “free lunch” (John), and “questionable economics for certain”... View Details
Keywords: by James Heskett
  • 01 Apr 2008
  • Working Paper Summaries

No Harm, No Foul: The Outcome Bias in Ethical Judgments

Keywords: by Francesca Gino, Don A. Moore & Max H. Bazerman
  • December 2007
  • Article

Bias in Jury Selection: Justifying Prohibited Peremptory Challenges

By: Michael I. Norton, Samuel R. Sommers and Sara Brauner
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Norton, Michael I., Samuel R. Sommers, and Sara Brauner. "Bias in Jury Selection: Justifying Prohibited Peremptory Challenges." Journal of Behavioral Decision Making 20, no. 5 (December 2007): 467–479.
  • 2016
  • Working Paper

Bias in Official Fiscal Forecasts: Can Private Forecasts Help?

By: Jeffrey A. Frankel and Jesse Schreger
Government forecasts of GDP growth and budget balances are generally more over optimistic than private sector forecasts. When official forecasts are especially optimistic relative to private forecasts ex ante, they are more likely also to be over optimistic relative to... View Details
Keywords: Forecasting and Prediction; Macroeconomics
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Frankel, Jeffrey A., and Jesse Schreger. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?" NBER Working Paper Series, No. 22349, June 2016.
  • 30 May 2024
  • Research & Ideas

Racial Bias Might Be Infecting Patient Portals. Can AI Help?

Patients and physicians increasingly turned to digital platforms, like patient portal messaging, when COVID-19 made contact risky, but a new study of how providers managed the messaging surge suggests an uncomfortable downside: What if... View Details
Keywords: by Ben Rand; Health
  • 2018
  • Working Paper

Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization

By: J. Lees
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Lees, J. "Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization." Working Paper, November 2018.
  • June 2010
  • Article

Correspondence Bias in Performance Evaluation: Why Grade Inflation Works

By: D. A. Moore, S. A. Swift, Z. S. Sharek and F. Gino
Keywords: Prejudice and Bias; Performance Evaluation; Inflation and Deflation
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Moore, D. A., S. A. Swift, Z. S. Sharek, and F. Gino. "Correspondence Bias in Performance Evaluation: Why Grade Inflation Works." Personality and Social Psychology Bulletin 36, no. 6 (June 2010): 843–852.
  • 12 Oct 2022
  • Research & Ideas

When Design Enables Discrimination: Learning from Anti-Asian Bias on Airbnb

they may inadvertently exacerbate. While Airbnb has addressed bias concerns with site changes in the past, further steps could be taken to bring more anonymity to the site, Luca says. Platform design and... View Details
Keywords: by Pamela Reynolds; Technology; Travel
  • 2023
  • Working Paper

Complexity and Hyperbolic Discounting

By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
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Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
  • Summer 2021
  • Article

Predictable Country-level Bias in the Reporting of COVID-19 Deaths

By: Botir Kobilov, Ethan Rouen and George Serafeim
We examine whether a country’s management of the COVID-19 pandemic relate to the downward biasing of the number of reported deaths from COVID-19. Using deviations from historical averages of the total number of monthly deaths within a country, we find that the... View Details
Keywords: COVID-19; Deaths; Reporting; Incentives; Government Policy; Health Pandemics; Health Care and Treatment; Country; Crisis Management; Outcome or Result; Reports; Policy
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Kobilov, Botir, Ethan Rouen, and George Serafeim. "Predictable Country-level Bias in the Reporting of COVID-19 Deaths." Journal of Government and Economics 2 (Summer 2021).
  • Article

Home Bias at Home: Local Equity Preference in Domestic Portfolios

By: Joshua D. Coval and Tobias J. Moskowitz
Keywords: Prejudice and Bias; Local Range; Investment
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Coval, Joshua D., and Tobias J. Moskowitz. "Home Bias at Home: Local Equity Preference in Domestic Portfolios." Journal of Finance 54, no. 6 (December 1999). (Winner of Smith Breeden Prize. Best Paper For the best finance research paper published in the Journal of Finance presented by Smith Breeden Associates, Inc.​)
  • March 2021
  • Supplement

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
  • 17 May 2018
  • Sharpening Your Skills

You Probably Have a Bias for Making Bad Decisions. Here's Why.

entrepreneurs, even when the content of the pitches is identical. And handsome men fare best of all. Why Employers Favor Men Why are women discriminated against in hiring decisions? The answer is more subtle than expected. Simple Ways to... View Details
Keywords: by Sean Silverthorne
  • 2003
  • Article

Don't Blame the Computer: When Self-Disclosure Moderates the Self-Serving Bias

By: Youngme Moon
Keywords: Information Technology; Prejudice and Bias
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Moon, Youngme. "Don't Blame the Computer: When Self-Disclosure Moderates the Self-Serving Bias." Journal of Consumer Psychology 13, nos. 1-2 (2003).
  • September 2020 (Revised July 2022)
  • Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
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