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(1,098)
- News (185)
- Research (762)
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- Faculty Publications (496)
Show Results For
- All HBS Web
(1,098)
- News (185)
- Research (762)
- Events (8)
- Multimedia (14)
- Faculty Publications (496)
- 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.
- 01 Jun 2011
- News
Racial Bias Pervades Health Care
Distinguished Professor of Medical Education and professor of orthopedic surgery at Harvard Medical School and was the first African American department chief at Harvard’s teaching hospitals. In his new... 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
- 20 Jan 2014
- News
Online marketplaces may encourage bias
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
- 09 Aug 2022
- Cold Call Podcast
A Lesson from Google: Can AI Bias be Monitored Internally?
Keywords: Re: Tsedal Neeley
- 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.
- 25 Jul 2016
- Working Paper Summaries
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
Keywords: by Jeffrey A. Frankel and Jesse Schreger
- 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.
- 2001
- Other Unpublished Work
'Pure Accidents' and the Evolving Bias of American Liability Law
By: David Moss and Michael Fein
- 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.
- 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.)
- 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
- 04 Dec 2017
- News
Researchers Combat Gender and Racial Bias in Artificial Intelligence
- 10 May 2016
- Video
2016 G&WS: Kieran Snyder Presents “Measuring Unconscious Bias in Text”
- 09 Aug 2022
- News
A Lesson from Google: Can AI Bias be Monitored Internally?
- 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).