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- 2025
- Working Paper
Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI
By: Rebecca Karp
Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details
Keywords: Decision Choices and Conditions; Technology Adoption; Groups and Teams; Prejudice and Bias
Karp, Rebecca. "Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI." Harvard Business School Working Paper, No. 25-034, January 2025.
- 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).
- January 2025
- Article
Everyone Steps Back?: The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High
By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
We study funding gaps on Kickstarter across multiple ethnic groups from 2009 to 2021. Scaling the concept of racially salient events, we quantify the close co-movement of minority funding gaps in crowd-funding to inflamed political rhetoric surrounding migration. The... View Details
Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Everyone Steps Back? The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High." Research Policy 54, no. 1 (January 2025).
- January 2025
- Article
Reducing Prejudice with Counter-stereotypical AI
By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
- 2024
- Working Paper
Assessing Assessors
By: Huaizhi Chen and Lauren Cohen
Property tax revenues – the largest discretionary source of revenue for local governments - adjust at a pace that is inconsistent with property values in the US. We show that this form of revenue smoothing may be rooted in the political economy of municipalities.... View Details
Chen, Huaizhi, and Lauren Cohen. "Assessing Assessors." NBER Working Paper Series, No. 33238, December 2024.
- 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.
- December 2024
- Article
Public Attitudes on Performance for Algorithmic and Human Decision-Makers
By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
- November–December 2024
- Article
High-Status Teammates: Award Evaluation in the National Basketball Association
By: Dominika Kinga Randle and Letian Zhang
Social evaluations proceed in stages. First, judges filter a broad pool of candidates and pick a subset for detailed assessment. Then, the chosen group undergoes a closer examination, during which winners are selected. At both stages of the process, judges are... View Details
Keywords: Performance Evaluation; Prejudice and Bias; Groups and Teams; Status and Position; Sports Industry
Randle, Dominika Kinga, and Letian Zhang. "High-Status Teammates: Award Evaluation in the National Basketball Association." Organization Science 35, no. 6 (November–December 2024): 2294–2308.
- November 2024
- Article
Preference Externality Estimators: A Comparison of Border Approaches and IVs
By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
- 2024
- Working Paper
Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance
By: Ramana Nanda
At the heart of entrepreneurial finance lies a persuasion challenge: regardless of
the strength of an entrepreneur’s belief in the potential of their idea, they typically
need to convince investors to provide the financial capital required for its... View Details
Keywords: Entrepreneurial Finance; Business Startups; Communication Intention and Meaning; Prejudice and Bias
Nanda, Ramana. "Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance." Harvard Business School Working Paper, No. 25-020, October 2024.
- October 2024
- Article
Racial Inequality in Organizations: A Systems Psychodynamic Perspective
By: Sanaz Mobasseri, William A. Kahn and Robin J. Ely
This paper uses systems psychodynamic concepts to develop theory about the persistence of racial inequality in U.S. organizations and to inform an approach for disrupting it. We treat White men as the dominant group and Black people as the archetypal subordinate group... View Details
Keywords: Equality and Inequality; Race; Prejudice and Bias; Organizational Culture; Gender; Power and Influence; Employees; Attitudes
Mobasseri, Sanaz, William A. Kahn, and Robin J. Ely. "Racial Inequality in Organizations: A Systems Psychodynamic Perspective." Academy of Management Review 49, no. 4 (October 2024): 718–745.
- 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
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
- Fall, 2024
- Article
Sixty Years of the Voting Rights Act: Progress and Pitfalls
By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
We review the literature on the effects of the 1965 Voting Rights Act (VRA), which removed formal restrictions to Black political participation. After a brief description of racial discrimination suffered by Black Americans since Reconstruction, we introduce the goals... View Details
Keywords: Prejudice and Bias; Equality and Inequality; Race; Political Elections; Voting; Policy; Outcome or Result; Government Legislation
Bernini, Andrea, Giovanni Facchini, Marco Tabellini, and Cecilia Testa. "Sixty Years of the Voting Rights Act: Progress and Pitfalls." Oxford Review of Economic Policy 40, no. 3 (Fall, 2024): 486–497.
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
Gneezy, Uri, Yoram Halevy, Brian Hall, Theo Offerman, and Jeroen van de Ven. "How Real Is Hypothetical? A High-Stakes Test of the Allais Paradox." Harvard Business School Working Paper, No. 25-005, August 2024.
- August 20, 2024
- Article
Sexual Assault Victims Face a Penalty for Adjacent Consent
By: Jillian J. Jordan and Roseanna Sommers
Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a... View Details
Jordan, Jillian J., and Roseanna Sommers. "Sexual Assault Victims Face a Penalty for Adjacent Consent." Proceedings of the National Academy of Sciences 121, no. 34 (August 20, 2024).
- July 2024
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
Agarwal, Stuti, Julian De Freitas, Anya Ragnhildstveit, and Carey K. Morewedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 269–281.
- June 2024
- Article
Inflation with COVID Consumption Baskets
By: Alberto Cavallo
The Covid-19 pandemic led to changes in expenditure patterns that introduced significant bias in the measurement of Consumer Price Index (CPI) inflation. Using publicly-available data on card transactions, I updated the official CPI weights and re-calculated inflation... View Details
Keywords: COVID; Consumer Expenditures; CPI; Inflation; Consumer Behavior; Inflation and Deflation; Health Pandemics
Cavallo, Alberto. "Inflation with COVID Consumption Baskets." Special Issue on The Global Economy: Looking Back, Moving Forward, Part II. IMF Economic Review 72, no. 2 (June 2024): 902–917.
- May 2024
- Teaching Note
Making Progress at Progress Software (A) and (B)
By: Katherine Baldiga Coffman, Hannah Riley Bowles, Emma Ronzetti and Alexis Lefort
Teaching Note for HBS Case Nos. 924-010 and 924-011. View Details
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.