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  • 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
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
  • 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)
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Kontokosta, Constantine E., Mitchell Weiss, Christine Snively, and Sarah Gulick. "NYC311." Harvard Business School Case 818-056, October 2017. (Revised November 2017.)
  • 05 Dec 2023
  • Research & Ideas

Lessons in Decision-Making: Confident People Aren't Always Correct (Except When They Are)

of “first-order importance” for understanding behavioral economics’ influence on social science. “Although behavioral economists have put great energies into studying how nudges, frames, familiarity, and learning influence biases... View Details
Keywords: by Kara Baskin
  • June 2020
  • Article

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
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Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))
  • 10 Jul 2007
  • Working Paper Summaries

The Persuasive Appeal of Stigma

Keywords: by Michael I. Norton, Elizabeth W. Dunn, Dana R. Carney & Dan Ariely
  • Article

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
  • February 2018
  • Article

Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience

By: Bradley R. Staats, Diwas S. KC and F. Gino
Many models in operations management involve dynamic decision making that assumes optimal updating in response to information revelation. However, behavioral theory suggests that rather than updating their beliefs, individuals may persevere in their prior beliefs. In... View Details
Keywords: Information; Announcements; Service Operations; Decision Making; Medical Specialties; Experience and Expertise; Medical Devices and Supplies Industry
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Staats, Bradley R., Diwas S. KC, and F. Gino. "Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience." Management Science 64, no. 2 (February 2018): 804–824.
  • 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
  • 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
Keywords: Policy Making; Procedural Justice; Ethics; Decision Making; Policy; Fairness
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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
Keywords: Decision Choices and Conditions; Mathematical Methods; Behavior; Prejudice and Bias
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Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
  • 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
Keywords: by Kristen Senz; Technology
  • 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
  • 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
  • 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
Keywords: Policy-making; Procedural Justice; Ethics; Decision Making; Fairness
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Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Working Paper, October 2019.
  • 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
  • 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
  • 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
  • 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
Keywords: by Rachel Layne; Transportation; Auto
  • 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
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