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Publications

Publications

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  • All HBS Web  (1,118)
    • News  (195)
    • Research  (748)
    • Events  (8)
    • Multimedia  (18)
  • Faculty Publications  (496)

Show Results For

  • All HBS Web  (1,118)
    • News  (195)
    • Research  (748)
    • Events  (8)
    • Multimedia  (18)
  • Faculty Publications  (496)
← Page 2 of 1,118 Results →
  • 04 Mar 2019
  • Working Paper Summaries

The Revision Bias

Keywords: by Ximena Garcia-Rada, Leslie John, Ed O’Brien, and Michael I. Norton
  • October 2024
  • Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender
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Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
  • Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

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 “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
  • Article

Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias

By: Julian De Freitas and Mina Cikara
Intergroup bias—preference for one's in-group relative to out-groups—is one of the most robust phenomena in all of psychology. Here we investigate whether a positive bias that operates at the individual-level, belief in a good true self, may be leveraged to reduce... View Details
Keywords: Intergroup Bias; True Self; Essentialism; Lay Theories
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De Freitas, Julian, and Mina Cikara. "Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias." Journal of Experimental Social Psychology 74 (January 2018): 307–316.
  • 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 book, Seeing Patients: Unconscious View Details
Keywords: Sean Silverthorne; Health, Social Assistance
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • January 1982
  • Article

A Negativity Bias in Interpersonal Evaluation

By: T. M. Amabile and A. H. Glazebrook
Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status... View Details
Keywords: Social Psychology; Status and Position; Prejudice and Bias; Performance Evaluation; Situation or Environment; Perception; Attitudes
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Amabile, T. M., and A. H. Glazebrook. "A Negativity Bias in Interpersonal Evaluation." Journal of Experimental Social Psychology 18 (January 1982): 1–22.
  • 20 Jan 2014
  • News

Online marketplaces may encourage bias

  • 18 Feb 2021
  • News

Jumping In, Fighting Bias

Photo via LinkedIn Photo via LinkedIn Growing up in suburban Chicago, Sumaiya Balbale (MBA 2009) and her Indian immigrant parents didn’t see many other Muslims. At school she was teased and bullied—an experience that no doubt shaped her as she moved from a history... View Details
  • 21 Jul 2020
  • News

Starbucks Commits to Raising Awareness of Racial Bias

  • 2003
  • Other Paper

The Business of Bias

By: Bharat Anand and Rafael Di Tella
Citation
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Anand, Bharat, and Rafael Di Tella. "The Business of Bias."
  • 2011
  • Article

Bias in Search Results?: Diagnosis and Response

By: Benjamin Edelman
I explore allegations of search engine bias, including understanding a search engine's incentives to bias results, identifying possible forms of bias, and evaluating methods of verifying whether bias in fact occurs. I then consider possible legal and policy responses,... View Details
Keywords: Prejudice and Bias; Motivation and Incentives; Outcome or Result; Markets; Legal Liability; Policy; Search Technology; Performance Evaluation; Governing Rules, Regulations, and Reforms
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Edelman, Benjamin. "Bias in Search Results?: Diagnosis and Response." Indian Journal of Law and Technology 7 (2011): 16–32.
  • 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
Keywords: Health Care and Treatment; Research
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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).
  • 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 get the full picture of the... 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

    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

    • 2022
    • Working Paper

    Confidence, Self-Selection and Bias in the Aggregate

    By: Benjamin Enke, Thomas Graeber and Ryan Oprea
    The influence of behavioral biases on aggregate outcomes like prices and allocations depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. We conduct a series of betting market, auction and... View Details
    Keywords: Prejudice and Bias; Cognition and Thinking; Markets; Price
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    Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Confidence, Self-Selection and Bias in the Aggregate." NBER Working Paper Series, No. 30262, July 2022.

      Unconscious Bias Training That Works

      • 03 Mar 2023
      • Video

      Drivers of Disparity: Systemic Bias

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