Publications

10 May 2016
Video

2016 G&WS: Kieran Snyder Presents “Measuring Unconscious Bias in Text”

14 Sep 2015
Video

2015 G&WS: Erin Hennes Presents “Testing Interventions to Reduce Gender Bias in STEM Fields”

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

Educators

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September 2020 (Revised July 2022)
Teaching Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and... View Details

Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States

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22 May 2016
Video

2016 G&WS: Lori Mackenzie (Clayman Institute) Presents on Identifying and Blocking Gender Bias in the Workplace

Article

Fighting Bias on the Front Lines

By: Alexandra C. Feldberg and Tami Kim

Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details

Keywords: Customer Service; Customer Focus and Relationships; Service Delivery; Diversity; Prejudice and Bias; Organizational Change and Adaptation

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

2023
Working Paper

Complexity and Hyperbolic Discounting

By: Benjamin Enke, Thomas Graeber and Ryan Oprea

A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details

Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance

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

Research Summary

Analyst Disagreement, Forecast Bias and Stock Returns

We present evidence of inefficient information processing in equity markets by documenting that biases in analysts' earnings forecasts are reflected in stock prices. In particular, investors fail to account for analysts' tendency to withhold negative views and to issue... View Details

28 Feb 2022
Research & Ideas

How Racial Bias Taints Customer Service: Evidence from 6,000 Hotels

when underlying biases are creeping into their interactions with customers. Feldberg and Kim have a few suggestions to help organizations identify whether bias is present and reverse the pattern: Conduct... View Details

Keywords: by Pamela Reynolds

Web

2023 Reunion Presentations - Alumni

consumers, and society. One risk is to underserve customers from protected or underrepresented groups, even if the firm does not intend to discriminate based on those characteristics. In this session we will discuss ways in which algorithmic View Details

2023
Working Paper

Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover

By: Jose Murillo, Boris Vallée and Dolly Yu

Using novel data from a Mexican FinTech firm, we study the usage by workers of earned wages access, an innovative financial service offered by firms to their employees as a benefit. We find usage to be significant and concentrated towards the end of the pay cycle. We... View Details

Keywords: Fintech; Present Bias; Earned Wage Access; Wages; Employees; Retention; Well-being; Mexico

07 Mar 2023
HBS Case

ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?

year detailing Gebru’s efforts within Google to urge caution with AI, saying tech companies shouldn’t race to launch systems without considering the potential risks and harms they could cause. She warned that unchecked AI databases could reek of View Details

Keywords: by Scott Van Voorhis; Technology

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

Web

2024 Reunion Presentations - Alumni

Reunions 2024 Reunion Presentations At Reunions, HBS faculty and other thought leaders address a range of issues facing business and society. Program recordings and materials (slide deck, handouts, etc.) are made available only when... View Details

October 2021
Article

Fintech Borrowers: Lax Screening or Cream-Skimming?

By: Marco Di Maggio and Vincent Yao

Personal credit is the fastest-growing segment of the consumer credit market, mainly driven by fintech lenders' staggering expansion. We study this market using a unique individual-level data, which covers most of the top fintech and traditional lenders, and provides... View Details

Keywords: Fintech; Lending; Consumer Finance; Credit History; Self-control; Present Bias; Financing and Loans; Personal Finance; Credit; Behavior

16 Dec 2022
Research & Ideas

Why Technology Alone Can't Solve AI's Bias Problem

human toll to letting algorithms do the work. “Maybe there is a bias from people who have been traditionally hiring men.” Searches on popular recruiting sites might seem like a neutral way to find prospective candidates, but their... View Details

Keywords: by Michael Blanding; Technology

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