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Show Results For
- All HBS Web
(593)
- People (1)
- News (90)
- Research (409)
- Events (5)
- Multimedia (1)
- Faculty Publications (212)
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- 16 Nov 2010
- First Look
First Look: November 16, 2010
"truth in giving" policies are highly responsive to recipient heterogeneity and biased against more generous giving. Traveling Agents: Political Change and Bureaucratic Turnover in India Authors:Lakshmi Iyer and Anandi Mani... View Details
Keywords: Sean Silverthorne
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
generate content that perpetuates existing biases. When we train these models at scale based on existing data, if the underlying data included biased information, the result is also likely to include that bias unless we intervene. One... View Details
- 2019
- Working Paper
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Working Paper, October 2019.
- 09 May 2012
- Research & Ideas
Clayton Christensen’s “How Will You Measure Your Life?”
such analysis shows that the marginal costs are lower, and marginal profits are higher, than the full cost. This doctrine biases companies to leverage what they have put in place to succeed in the past, instead of guiding them to create... View Details
- 11 Sep 2017
- Research & Ideas
Why Employers Favor Men
findings may help employers train recruiters to be aware of their biases and work around them. The two faces of discrimination Gender discrimination clearly runs through the workplace. Women earn about 78 cents on the dollar compared to... View Details
Keywords: by Dina Gerdeman
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
incentives may motivate drivers to take a second look at automation features and tolerate their discomfort around driving in an “inferior” vehicle, the authors suggest. 3.Educate consumers—effectively. Educational videos about people’s View Details
- 23 May 2023
- Research & Ideas
Face Value: Do Certain Physical Features Help People Get Ahead?
Empirically, they found that a thin jaw correlated negatively with CVP. Meanwhile, darker skin color has a positive correlation with celebrity visual potential, but mostly for white people. The results potentially mirror the deeply ingrained View Details
Keywords: by Kara Baskin
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
verdicts, increasing the probability of a favorable outcome. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=54560 Motivated Errors By: Exley, Christine L., and Judd B. Kessler Abstract—Behavioral biases that cause... View Details
Keywords: Dina Gerdeman
- 05 Jun 2012
- First Look
First Look: June 5
systematically biased toward higher yield, higher CDS bonds. This behavior appears to be related to the business cycle, being most pronounced during economic expansions. It is also more pronounced for the insurance firms for which... View Details
Keywords: Sean Silverthorne
- November 26, 2019
- Article
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Proceedings of the National Academy of Sciences 116, no. 48 (November 26, 2019).
- 2010
- Working Paper
Substitution Patterns of the Random Coefficients Logit
By: Thomas J. Steenburgh and Andrew Ainslie
Previous research suggests that the random coefficients logit is a highly flexible model that overcomes the problems of the homogeneous logit by allowing for differences in tastes across individuals. The purpose of this paper is to show that this is not true. We prove... View Details
Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
Veil-of-Ignorance Reasoning Favors the Greater Good
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
- 28 Mar 2012
- Working Paper Summaries
When Performance Trumps Gender Bias: Joint versus Separate Evaluation
- 17 Aug 2020
- Research & Ideas
What the Stockdale Paradox Tells Us About Crisis Leadership
“perceptual narrowing” (hyperfocus on the task at hand with no attention to the environment), and behavioral conformity. As a leader, you can help fight these cognitive biases by being aware of them. Inevitably, you and members of your... View Details
Keywords: by Boris Groysberg and Robin Abrahams
- 17 Feb 2020
- Sharpening Your Skills
How Entrepreneurs Can Find the Right Problem to Solve
are so biased it’s hard to trust the results. Further, entrepreneurs may have a good hunch there’s a job to be done that needs improving or replacing, but they can’t describe where in the customer journey they can truly make an impact.... View Details
Keywords: by Julia Austin
- Web
Students on the Job Market - Doctoral
Next, I show that investors also display this biased reaction to news, with stock returns reacting less negatively to negative surprises from male-led companies relative to their female-led peers on earnings announcement days. I then shed... View Details
- Research Summary
Overview
Professor Coffman studies the sources of gender gaps in economically-important contexts. Her work focuses on the role of beliefs: how do stereotypes bias the beliefs that individuals hold about themselves (and others), and how do these biased beliefs shape... View Details
- 24 Oct 2016
- Research & Ideas
Bernie Madoff Explains Himself
in history. “Madoff is an extreme case in many ways, but in other ways, he is just someone who fell prey to biases and the tendency to rationalize” Madoff’s phone-time allowance was limited, and he saved much of it for his conversations... View Details