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- May 2022
- Case
Timnit Gebru: “SILENCED No More” on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
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 she accepted your resignation.” Heart...
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- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the...
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- April 2022
- Teaching Note
Gender Equality in Business: 100 Years of Progress?
By: Boris Groysberg and Colleen Ammerman
Teaching Note for HBS Case No. 422-066, "Gender Equality in Business: 100 Years of Progress?" The case traces the history of women in management from the early 20th to early 21st century through analysis of Harvard Business Review's coverage of women and gender. The...
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- April 2022
- Case
Gender Equality in Business: 100 Years of Progress?
By: Boris Groysberg and Colleen Ammerman
"Gender Equality in Business: 100 Years of Progress?" traces the history of women in management from the early 20th to early 21st century through analysis of Harvard Business Review's coverage of women and gender. The case identifies six distinct phases in the...
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- Other Article
Sustainable Strategies and Net-Zero Goals
By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...
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- 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
- 2022
- Working Paper
Fintech to the (Worker) Rescue: Earned Wage Access and Employee Retention
By: Jose Murillo, Boris Vallee 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...
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Keywords:
Fintech;
Present Bias;
Earned Wage Access;
Wages;
Employees;
Retention;
Well-being;
Mexico
- 2022
- Chapter
Fiscal Development under Colonial and Sovereign Rule
By: Ewout Frankema and Marlous van Waijenburg
This chapter explores differences in the making of a ‘modern’ fiscal state under colonial and sovereign rule. Focusing on African and Asian colonies (1820–1970) and their respective European metropoles, it argues that while the introduction of ‘modern’...
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Keywords:
Fiscal Modernization;
Colonial Rule;
Economic History;
Sovereign Finance;
History;
Taxation;
Africa;
Asia
- 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
This article presents research... View Details
- October 2021
- Article
Can Self-Regulation Save Digital Platforms?
By: Michael A. Cusumano, Annabelle Gawer and David B. Yoffie
This article explores some of the critical challenges facing self-regulation and the regulatory environment for digital platforms. We examine several historical examples of firms and industries that attempted self-regulation before the Internet. All dealt with similar...
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- 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...
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- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...
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- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to...
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- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...
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- September 2021
- Case
Francoise Brougher (A)
Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer...
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- 2021
- Working Paper
Channeled Attention and Stable Errors
We develop a framework for assessing when a person will notice that a theory she has about the world is wrong, premised on the idea that people neglect information that they view (through the lens of their misconceptions) to be irrelevant. Focusing on the question of...
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- September 2021
- Article
Gender Stereotypes in Deliberation and Team Decisions
By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are...
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- Article
Unconscious Bias Training That Works
By: Francesca Gino and Katherine Coffman
To become more diverse, equitable, and inclusive, many companies have turned to unconscious bias (UB) training. By raising awareness of the mental shortcuts that lead to snap judgments—often based on race and gender—about people’s talents or character, it strives to...
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- August 2021
- Case
Zoom Video Communications: Building a Culture of Diversity, Equity, & Inclusion During COVID-19
By: Karen G. Mills, Scott Duke Kominers, Christopher Stanton, Andy Wu, George Gonzalez and Gabriella Elanbeck
Keywords:
Diversity Management;
Diversity Training;
Cultural Change;
Cultural Diversity;
Inclusion;
Inclusive Growth;
Inclusive Hiring;
Hiring;
Hiring Of Employees;
Recruiting;
Performance Management;
Change Leadership;
Race And Ethnicity;
Racial Bias;
Racial Disparity;
Racial Injustice;
Racial Tensions;
Racism;
Organization;
Organization Process;
Organization Structure;
Structural/institutional Racism;
Leadership And Change Management;
Leadership And Managing People;
Leading;
Gender Bias;
Discrimination;
Inequalities;
Inequality;
Social Change;
Employee Attitude Development And Empowerment;
Employee Bonding;
Employee Empowerment;
Employee Engagement;
Employee Fairness;
Employee Morale;
Employee Performance Management;
Employee Relations;
Company Culture;
Company Values;
Values;
COVID-19 Pandemic;
Demographics;
Diversity;
Age;
Ethnicity;
Gender;
Business Processes;
Change Management;
Change;
Race;
Human Capital;
Human Resources;
Compensation and Benefits;
Employees;
Employee Relationship Management;
Recruitment;
Retention;
Selection and Staffing;
Jobs and Positions;
Job Interviews;
Leadership;
Leading Change;
Management;
Management Teams;
Business or Company Management;
Crisis Management;
Goals and Objectives;
Growth and Development;
Growth and Development Strategy;
Growth Management;
Management Style;
Organizational Change and Adaptation;
Organizational Culture;
Organizational Design;
Organizational Structure;
Organizations;
Mission and Purpose;
Culture;
Happiness;
Prejudice and Bias;
Satisfaction;
Equity;
Identity;
Leadership Style;
Values and Beliefs;
Technology Industry;
United States
- Summer 2021
- Article
Predictable Country-level Bias in the Reporting of COVID-19 Deaths
We examine whether a country’s management of the COVID-19 pandemic relate to the downward biasing of the number of reported deaths from COVID-19. Using deviations from historical averages of the total number of monthly deaths within a country, we find that the...
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