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Show Results For
- All HBS Web
(1,188)
- News (163)
- Research (843)
- Events (17)
- Multimedia (13)
- Faculty Publications (565)
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- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 17 Dec 2013
- First Look
First Look: December 17
as an imperial power. Publisher's link: http://press.princeton.edu/titles/9952.html August 2013 American Economic Review Household Bargaining and Excess Fertility: An Experimental Study in Zambia By: Ashraf, Nava, Erica Field, and Jean... View Details
Keywords: Carmen Nobel
- 07 Apr 2011
- Working Paper Summaries
The Consequences of Financial Innovation: A Counterfactual Research Agenda
Keywords: by Josh Lerner & Peter Tufano
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- September 16, 2022
- Article
A Causal Test of the Strength of Weak Ties
By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
- Research Summary
"How Social Networks Moderate Loss Aversion"
The literature on consumers’ relationships with their brands emphasizes that, when people form relationships with brands that mirror their social relationships, the norms of social relationships are used as guiding principles in their interactions with... View Details
- 2025
- Working Paper
How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil
By: Paula Rettl
While elite-cue effects on public opinion are well-documented, questions remain as
to when and why voters use elite cues to inform their opinions and behaviors. This
study contributes to answer these questions by testing whether voters react to cues
by charismatic... View Details
Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
Rettl, Paula. "How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil." Harvard Business School Working Paper, No. 24-022, October 2023. (Revised June 2025.)
- 09 Apr 2019
- First Look
New Research and Ideas, April 9, 2019
regulation. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55884 April 2019 Journal of Economic Behavior & Organization Incentives for Public Goods Inside Organizations: Field Experimental Evidence By: Blasco,... View Details
Keywords: Dina Gerdeman
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
the assistance of ChatGPT) Throughout 2023, we dedicated considerable effort to assessing whether the recent strides in generative AI were mere fads or indicative of a transformative future. This period was marked by extensive View Details
- 2010
- Working Paper
Being a Leader and the Effective Exercise of Leadership: An Ontological Model (PDF File of PowerPoint Slides)
By: Werner Erhard, Michael C. Jensen and Kari Granger
This presentation is based on our research program over the last seven years in which our objective has been to rigorously distinguish leader and leadership and to create a technology for providing access to being a leader and exercising leadership effectively (in... View Details
Keywords: Curriculum and Courses; Innovation and Invention; Leadership Development; Goals and Objectives; Research and Development; Attitudes; Perception; Technology; United States
Erhard, Werner, Michael C. Jensen, and Kari Granger. "Being a Leader and the Effective Exercise of Leadership: An Ontological Model (PDF File of PowerPoint Slides)." Harvard Business School Working Paper, No. 09-124, October 2010.
- 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).
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
- January 2024
- Article
Investing with the Government: A Field Experiment in China
By: Emanuele Colonnelli, Bo Li and Ernest Liu
We study the demand for government participation in China’s venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both capital investors... View Details
Keywords: Venture Capital; Private Equity; Business and Government Relations; Entrepreneurship; China
Colonnelli, Emanuele, Bo Li, and Ernest Liu. "Investing with the Government: A Field Experiment in China." Journal of Political Economy 132, no. 1 (January 2024): 248–294.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- February 2022
- Article
OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online
By: Nancy Rothbard, Lakshmi Ramarajan, Ariane Ollier-Malaterre and Serenity Lee
We propose and test a relational boundary-blurring framework, examining how employees’ evaluations of colleagues’ characteristics drive their decisions to connect with colleagues as friends online. We use a multi-method approach across four studies to investigate how... View Details
Rothbard, Nancy, Lakshmi Ramarajan, Ariane Ollier-Malaterre, and Serenity Lee. "OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online." Academy of Management Journal 65, no. 1 (February 2022): 35–65.
- Article
Heuristics Guide the Implementation of Social Preferences in One-Shot Prisoner's Dilemma Experiments
By: Jillian J. Jordan, Valerio Capraro and David G. Rand
Cooperation in one-shot anonymous interactions is a widely documented aspect of human behavior. Here we shed light on the motivations behind this behavior by experimentally exploring cooperation in a one-shot continuous-strategy Prisoner’s Dilemma (i.e. one-shot... View Details
Jordan, Jillian J., Valerio Capraro, and David G. Rand. "Heuristics Guide the Implementation of Social Preferences in One-Shot Prisoner's Dilemma Experiments." Art. 6790. Scientific Reports 4 (2014).
- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- Article
Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures
By: Matthew Lee and Laura Huang
Recent studies find that female-led ventures are penalized relative to male-led ventures due to role incongruity, or a perceived “lack of fit,” between female stereotypes and expected personal qualities of business entrepreneurs. We examine whether social impact... View Details
Keywords: Entrepreneurship; Gender; Prejudice and Bias; Framework; Perception; Performance Evaluation
Lee, Matthew, and Laura Huang. "Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures." Organization Science 29, no. 1 (January–February 2018): 1–16.
- April 2018
- Article
Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices
By: Rellie Derfler-Rozin, Bradford Baker and F. Gino
In this paper, we explore referral-based hiring practices and show how a referrer’s power (relative to the hiring manager) influences other organizational members’ support (or lack thereof) for who is hired through perceptions of the hiring manager’s motives and... View Details
Derfler-Rozin, Rellie, Bradford Baker, and F. Gino. "Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices." Academy of Management Journal 61, no. 2 (April 2018): 615–636.