Publications

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

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

2003
Other Paper

The Business of Bias

By: Bharat Anand and Rafael Di Tella

21 Jul 2020
Cold Call Podcast

Starbucks Commits to Raising Awareness of Racial Bias

Keywords: Re: Francesca Gino & Katherine B. Coffman; Food & Beverage; Service

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

09 Aug 2022
Cold Call Podcast

A Lesson from Google: Can AI Bias be Monitored Internally?

Keywords: Re: Tsedal Neeley

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

Purchase

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

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

14 Dec 2016
Book

Simple Ways to Take Gender Bias Out of Your Job Ads

Keywords: by Carmen Nobel

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

18 Oct 2004
Research & Ideas

The Bias of Wall Street Analysts

If it's one lesson the individual investor learned the hard way from the collapse of Enron, it is that the recommendations of Wall Street stock analysts can be influenced by much more than purely objective research. Just look at the large number of analysts who kept... View Details

Keywords: by Ann Cullen; Financial Services

January–February 2019
Article

Who Loses When a Team Wins? Better Performance Increases Racial Bias

By: Letian Zhang

Although it is well known that organizational and team performance influences strategic decision-making, little is known about its impact on ascriptive inequality. This study proposes a performance effect on racial bias: higher team performance reduces managers’... View Details

Keywords: Discrimination; Race And Ethnicity; Performance Feedback; NBA; Prejudice and Bias; Race; Ethnicity; Performance; Sports

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

18 Oct 2022
Research & Ideas

When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process. For instance, BEAT could help a car service charge surge... View Details

Keywords: by Rachel Layne

19 Nov 2019
Op-Ed

Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

bias in Goldman Sachs’s underwriting model. (Goldman developed and issued the card.) Adding fuel to the fire, Apple co-founder Steve Wozniak shared that the same thing had happened to him and his wife. Officials from the New York... View Details

Keywords: by Karen G. Mills; Financial Services

2015
Working Paper

Expertise vs. Bias in Evaluation: Evidence from the NIH

By: Danielle Li

Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad. At the same time, they may also have personal preferences that impact their objectivity. This paper develops a framework for separately identifying... View Details

Keywords: Prejudice and Bias; Performance Evaluation; Experience and Expertise