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(1,097)
- News (180)
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Show Results For
- All HBS Web
(1,097)
- News (180)
- Research (762)
- Events (8)
- Multimedia (14)
- Faculty Publications (498)
- 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.
- July–September 2018
- Article
Memory Bias in Observer-Performance Literature
By: Tamara M. Haygood, Samantha N. Smith and Jia Sun
The objective of our study was to determine how authors of published observer–performance experiments dealt with memory bias in study design. We searched American Journal of Roentgenology online and Radiology using “observer study” and “observer performance.” We... View Details
Haygood, Tamara M., Samantha N. Smith, and Jia Sun. "Memory Bias in Observer-Performance Literature." Art. 031412. Journal of Medical Imaging 5, no. 3 (July–September 2018).
- February 2010
- Article
Conflict of Interest and the Intrusion of Bias
By: Don A. Moore, Lloyd Tanlu and Max Bazerman
This paper presents evidence of performance persistence in entrepreneurship. We show that entrepreneurs with a track record of success are much more likely to succeed than first-time entrepreneurs and those who have previously failed. In particular, they exhibit... View Details
Keywords: Conflict of Interests; Prejudice and Bias; Performance; Entrepreneurship; Market Timing; Competency and Skills; Perception; Business Startups; Resource Allocation
Moore, Don A., Lloyd Tanlu, and Max Bazerman. "Conflict of Interest and the Intrusion of Bias." Judgment and Decision Making 5, no. 1 (February 2010): 37–53.
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- 11 Jan 2019
- News
Case Study: Beating Bias
school years and more recently at Nickelodeon’s strategy department, Patel realized he (like many others) had been consuming media that only confirmed his own political bias and, in so doing, had failed to... View Details
Keywords: Jen McFarland Flint
- 21 Jul 2020
- News
Starbucks Commits to Raising Awareness of Racial Bias
- 09 Aug 2022
- Cold Call Podcast
A Lesson from Google: Can AI Bias be Monitored Internally?
Keywords: Re: Tsedal Neeley
- Article
Choice Architects Reveal a Bias Toward Positivity and Certainty
By: David P. Daniels and Julian Zlatev
Biases influence important decisions, but little is known about whether and how individuals try to exploit others’ biases in strategic interactions. Choice architects—that is, people who present choices to others—must often decide between presenting choice sets with... View Details
Keywords: Nudges; Biases; Strategic Decision Making; Social Influence; Choice Architects; Choice Architecture; Reflection Effect; Certainty Effect; Loss Aversion; Decision Making; Risk and Uncertainty; Power and Influence
Daniels, David P., and Julian Zlatev. "Choice Architects Reveal a Bias Toward Positivity and Certainty." Organizational Behavior and Human Decision Processes 151 (March 2019): 132–149.
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details
Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- Article
The BIAS Map: Behaviors from Intergroup Affect and Stereotypes.
By: A.J.C. Cuddy, S.T. Fiske and P. Glick
Cuddy, A.J.C., S.T. Fiske, and P. Glick. "The BIAS Map: Behaviors from Intergroup Affect and Stereotypes." Journal of Personality and Social Psychology 92, no. 1 (January 2007): 631–648.
- 25 Jul 2016
- Working Paper Summaries
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
Keywords: by Jeffrey A. Frankel and Jesse Schreger
- 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.)
- 2001
- Other Unpublished Work
'Pure Accidents' and the Evolving Bias of American Liability Law
By: David Moss and Michael Fein
- 05 Jun 2018
- News
Did The Starbucks Racial Bias Training Work?
- 08 Aug 2013
- News
Study finds online ratings vulnerable to bias
- 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
- 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
- 04 Dec 2017
- News
Researchers Combat Gender and Racial Bias in Artificial Intelligence
- 10 May 2016
- Video