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      • Faculty Publications  (308)

      Prejudice and Bias Remove Prejudice and Bias →

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      • October 2023
      • Case

      Making Progress at Progress Software (A)

      By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
      In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of...  View Details
      Keywords: Leading Change; Organizational Culture; Performance Evaluation; Prejudice and Bias; Technology Industry; Bulgaria
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      Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (A)." Harvard Business School Case 924-010, October 2023.
      • 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
      Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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      Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
      • October 2023
      • Supplement

      Making Progress at Progress Software (B)

      By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
      In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of...  View Details
      Keywords: Leading Change; Negotiation; Organizational Culture; Performance Evaluation; Prejudice and Bias; Technology Industry; United States; Bulgaria
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      Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (B)." Harvard Business School Supplement 924-011, October 2023.
      • 2023
      • Working Paper

      Causal Interpretation of Structural IV Estimands

      By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
      We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning...  View Details
      Keywords: Mathematical Methods
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      Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
      • 2023
      • Working Paper

      Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring

      By: Maria R. Ibanez, Ashley Palmarozzo, Jodi L. Short and Michael W. Toffel
      To capitalize on the superior credibility and flexibility and lower cost of external assessments, many global buyers are shifting from using their own employee (“second-party”) auditors to relying more heavily (or entirely) on third-party auditors to monitor and...  View Details
      Keywords: Auditing; Audit Quality; Working Conditions; Sustainability; Empirical Operations; Empirical Service Operations; Sustainability Management; Corporate Accountability; Agency Theory; Corporate Social Responsibility and Impact; Supply Chain Management
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      Ibanez, Maria R., Ashley Palmarozzo, Jodi L. Short, and Michael W. Toffel. "Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring." Working Paper, June 2023.
      • June 2023
      • Simulation

      Artea Dashboard and Targeting Policy Evaluation

      By: Ayelet Israeli and Eva Ascarza
      Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...  View Details
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...  View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • 2023
      • Working Paper

      Black Empowerment and White Mobilization: The Effects of the Voting Rights Act

      By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
      The 1965 Voting Rights Act (VRA) paved the road to Black empowerment. How did southern whites respond? Leveraging newly digitized data on county-level voter registration rates by race between 1956 and 1980, and exploiting pre-determined variation in exposure to the...  View Details
      Keywords: Government Legislation; Race; Behavior; Voting; Prejudice and Bias
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      Bernini, Andrea, Giovanni Facchini, Marco Tabellini, and Cecilia Testa. "Black Empowerment and White Mobilization: The Effects of the Voting Rights Act." Harvard Business School Working Paper, No. 23-075, June 2023. (Revise and resubmit at the Journal of Political Economy. Also available on Vox EU. Featured on HBS Working Knowledge.)
      • June 2023
      • Article

      Amplification of Emotion on Social Media

      By: Amit Goldenberg and Robb Willer
      Why do expressions of emotion seem so heightened on social media? Brady et al. argue that extreme moral outrage on social media is not only driven by the producers and sharers of emotional expressions, but also by systematic biases in the way people that perceive moral...  View Details
      Keywords: Emotion; Perception; Prejudice and Bias; Emotions; Social Media
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      Goldenberg, Amit, and Robb Willer. "Amplification of Emotion on Social Media." Nature Human Behaviour 7, no. 6 (June 2023): 845–846.
      • 2023
      • Working Paper

      Auditing Predictive Models for Intersectional Biases

      By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
      Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we...  View Details
      Keywords: Predictive Models; Bias; AI and Machine Learning
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      Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
      • 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
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      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.)
      • 2023
      • Working Paper

      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
      Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • 2023
      • Article

      Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

      By: Edward McFowland III and Cosma Rohilla Shalizi
      Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its...  View Details
      Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
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      McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in...  View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • February 2023
      • Teaching Note

      Colette Phillips and GetKonnected: Creating Inclusive Ecosystems

      By: Rosabeth M. Kanter and Ai-Ling Jamila Malone
      Teaching Note for HBS Case No. 323-035.  View Details
      Keywords: Diversity; Ecosystem; Inclusion; People Of Color; Network; Racial Bias; Gender Bias; Entrepreneur; Entrepreneurial Ecosystems; Change; Change Barriers; Change Leadership; Community; Innovation; Pandemic; Impact; Systemic Racism; Minority-owned Businesses; Social and Collaborative Networks; Equity; Race; Small Business; Prejudice and Bias; Boston
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      Kanter, Rosabeth M., and Ai-Ling Jamila Malone. "Colette Phillips and GetKonnected: Creating Inclusive Ecosystems." Harvard Business School Teaching Note 323-074, February 2023.
      • 2023
      • Working Paper

      Migration Fear and Minority Crowd-Funding Success: Evidence from Kickstarter

      By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
      The US Migration Fear Index fluctuated substantially during 2009-2021, especially during the campaign and early administration of President Trump. During quarters of low anxiety, minorities are 2.4% less likely to achieve their crowd-funding goals than white creators...  View Details
      Keywords: Crowdfunding; Prejudice and Bias; Race; Immigration; Public Opinion
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      Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Migration Fear and Minority Crowd-Funding Success: Evidence from Kickstarter." Harvard Business School Working Paper, No. 23-046, January 2023.
      • 2023
      • Working Paper

      The Benefits of Revealing Race: Evidence from Minority-owned Local Businesses

      By: Abhay Aneja, Michael Luca and Oren Reshef
      Is there latent demand to support Black-owned businesses? To explore, we analyze a new feature that made it easier to identify Black-owned restaurants on a large online platform. We find that labeling restaurants as “Black-owned” increased customer engagement and...  View Details
      Keywords: Black-owned Businesses; Race; Prejudice and Bias; Ownership; Knowledge Dissemination; Digital Platforms; Consumer Behavior; Food and Beverage Industry
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      Aneja, Abhay, Michael Luca, and Oren Reshef. "The Benefits of Revealing Race: Evidence from Minority-owned Local Businesses." Harvard Business School Working Paper, No. 23-042, January 2023. (Revised September 2023.)
      • January 2023
      • Article

      Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights

      By: Alvaro Calderon, Vasiliki Fouka and Marco Tabellini
      Between 1940 and 1970, more than 4 million African Americans moved from the South to the North of the United States, during the Second Great Migration. This same period witnessed the struggle and eventual success of the civil rights movement in ending institutionalized...  View Details
      Keywords: Civil Rights; Great Migration; History; Race; Rights; Prejudice and Bias; Government Legislation
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      Calderon, Alvaro, Vasiliki Fouka, and Marco Tabellini. "Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights." Review of Economic Studies 90, no. 1 (January 2023): 165–200. (Available also from VOX, Broadstreet, and VOX EU.)
      • December 2022
      • Article

      Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market

      By: Yanhui Wu and Feng Zhu
      A growing number of people today are participating in the gig economy, working as independent contractors on short-term projects. We study the effects of competition on gig workers' effort and creativity on a Chinese novel-writing platform. Authors produce and sell...  View Details
      Keywords: Gig Workers; Platform-based Markets; Novel Writing; Creative Production; Platform Bias; Employment; Digital Platforms; Creativity; Books; Competition; Contracts
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      Wu, Yanhui, and Feng Zhu. "Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market." Management Science 68, no. 12 (December 2022): 8613–8634.
      • December 2022
      • Article

      Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences

      By: Leigh Plunkett Tost, Ashley E. Hardin and Francesca Gino
      We examine whether narratives about, and the psychological consequences of, perceived gender discrimination differ between women and men. We argue that women and men have different dominant narratives about the reasons why people discriminate against people of their...  View Details
      Keywords: Gender Discrimination; Organizations; Prejudice and Bias; Gender; Perception
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      Tost, Leigh Plunkett, Ashley E. Hardin, and Francesca Gino. "Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences." Academy of Management Journal 65, no. 6 (December 2022): 1804–1834.
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