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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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- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- February 2021
- Case
The Tulsa Massacre and the Call for Reparations
By: Mihir Desai, Ruth Page, Suzanne Antoniou and Leanne Fan
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Costs And Consequences; Decisions; Judgment And Decision-making; Lawsuit; Leading Change; Conflict Resolution; Perspective Taking; Prejudice; Bias; Reparations; Decision Making; Decision Choices and Conditions; Cost vs Benefits; Judgments; Race; Ethics; Fairness; Moral Sensibility; Values and Beliefs; Conflict Management; Governance; Corporate Accountability; Corporate Governance; Governing Rules, Regulations, and Reforms; Policy; Government and Politics; Government Legislation; History; Lawsuits and Litigation; Legal Liability; Mission and Purpose; Corporate Social Responsibility and Impact; Motivation and Incentives; Civil Society or Community; Social Issues; Oklahoma; Tulsa; United States
Desai, Mihir, Ruth Page, Suzanne Antoniou, and Leanne Fan. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Multimedia/Video Case 221-707, February 2021.
- 2001
- Other Unpublished Work
'Pure Accidents' and the Evolving Bias of American Liability Law
By: David Moss and Michael Fein
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details
Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- 28 Feb 2022
- Research & Ideas
How Racial Bias Taints Customer Service: Evidence from 6,000 Hotels
nothing to improve here.’ But what our results are showing is that we need to go beyond that because, even if they are responding to everyone, it doesn't mean that everyone is getting treated equally.” Advice for detecting bias... View Details
Keywords: by Pamela Reynolds
- 18 Oct 2004
- Research & Ideas
The Bias of Wall Street Analysts
up until the point (and even after) the company tumbled off a cliff. Indeed, HBS professor Mark Bradshaw and collaborators Scott Richardson and Richard Sloan found that pre-year 2000 forecasts View Details
- 2003
- Working Paper
Auditor Independence, Conflict of Interest, and the Unconscious Intrusion of Bias
By: Don A. Moore, George Loewenstein, Lloyd Tanlu and Max H. Bazerman
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process. For instance, BEAT could help... View Details
Keywords: by Rachel Layne
- 07 Mar 2023
- HBS Case
ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?
year detailing Gebru’s efforts within Google to urge caution with AI, saying tech companies shouldn’t race to launch systems without considering the potential risks and harms they could cause. She warned that unchecked AI databases could... View Details
- 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
Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
- May 28, 2018
- Article
How Companies Can Identify Racial and Gender Bias in Their Customer Service
By: Alexandra C. Feldberg and Tami Kim
Research shows that minority customers — blacks and Asians — regularly receive worse customer service than whites in ways that are not immediately obvious to onlookers (or even managers). These results prompt a couple of questions for executives and managers. One, does... View Details
Keywords: Internal Audit; Customers; Service Delivery; Prejudice and Bias; Race; Gender; Organizational Change and Adaptation
Feldberg, Alexandra C., and Tami Kim. "How Companies Can Identify Racial and Gender Bias in Their Customer Service." Harvard Business Review (website) (May 28, 2018).
- September 29, 2023
- Article
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
- 19 Nov 2019
- Op-Ed
Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech
bias in Goldman Sachs’s underwriting model. (Goldman developed and issued the card.) Adding fuel to the fire, Apple co-founder Steve Wozniak shared that the same thing had happened to him View Details
- 2015
- Working Paper
Expertise vs. Bias in Evaluation: Evidence from the NIH
By: Danielle Li
Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad. At the same time, they may also have personal preferences that impact their objectivity. This paper develops a framework for separately identifying... View Details
Li, Danielle. "Expertise vs. Bias in Evaluation: Evidence from the NIH." Harvard Business School Working Paper, No. 16-053, October 2015.
- 2025
- Article
Humor as a Window into Generative AI Bias
By: Roger Samure, Julian De Freitas and Stefano Puntoni
A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
- Article
Information or Opinion? Media Bias as Product Differentiation
By: Bharat Anand, Rafael Di Tella and Alexander Galetovic
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
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.
- 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