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  • All HBS Web  (38)
    • News  (6)
    • Research  (28)
  • Faculty Publications  (15)

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  • All HBS Web  (38)
    • News  (6)
    • Research  (28)
  • Faculty Publications  (15)
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  • Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • April 2023
  • Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
  • Article

Learning Models for Actionable Recourse

By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • June 1984
  • Case

Without Recourse

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Goodpaster, Kenneth E. "Without Recourse." Harvard Business School Case 384-273, June 1984.
  • 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).
  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
  • Article

Counterfactual Explanations Can Be Manipulated

By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
Keywords: Machine Learning Models; Counterfactual Explanations
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Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • 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
Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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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.
  • July 2007
  • Article

Cooperation between Corporations and Environmental Groups: A Transaction Cost Perspective

Theory suggests that when transaction costs are low, corporations and stakeholders can minimize social costs by transacting to their mutual advantage, but when transaction costs are high, reducing social costs requires the intervention of a centralized institution.... View Details
Keywords: Cost vs Benefits; Cost; Corporate Social Responsibility and Impact; Business and Stakeholder Relations; Environmental Sustainability; Competitive Advantage; Cooperation
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King, Andrew A. "Cooperation between Corporations and Environmental Groups: A Transaction Cost Perspective." Academy of Management Review 32, no. 3 (July 2007): 889–900.
  • Fourth Quarter 2008
  • Article

Do Funds-of-Funds Deserve Their Extra Fees?

By: Andrew Ang, Matthew Rhodes-Kropf and Rui Zhao
Since the after-fee returns of funds-of-funds are, on average, lower than hedge fund returns, it is easy to conclude that funds-of-funds do not add value compared to hedge funds. However, funds-of-funds should not be evaluated relative to hedge fund returns in publicly... View Details
Keywords: Investment Funds; Investment Return; Value; Assets; Resource Allocation
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Ang, Andrew, Matthew Rhodes-Kropf, and Rui Zhao. "Do Funds-of-Funds Deserve Their Extra Fees?" Journal of Investment Management 6, no. 4 (Fourth Quarter 2008).
  • June 1988 (Revised December 1991)
  • Case

An Tai Bao Coal Mining Project

By: W. Carl Kester and Richard P. Melnick
An Tai Bao is the world's largest open-pit coal mine and is located in China's Shanxi province. After eight years of planning and negotiating, Occidental Petroleum, the foreign partner in the deal, is about to sign an ownership and financing agreement for $475 million... View Details
Keywords: Planning; Agreements and Arrangements; Non-Renewable Energy; Equity; Partners and Partnerships; Negotiation Deal; Joint Ventures; Mining Industry; China
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Kester, W. Carl, and Richard P. Melnick. "An Tai Bao Coal Mining Project." Harvard Business School Case 288-041, June 1988. (Revised December 1991.)
  • March 2006
  • Module Note

Finance in Weak Institutional Environments

By: Mihir A. Desai and Kathleen Luchs
Describes the sixth module in the International Finance course at Harvard Business School. The module explores the issues confronting firms that operate in weak institutional environments. The cases examine situations where investor protections are limited and how... View Details
Keywords: International Finance; Curriculum and Courses; Business Ventures; Framework; Organizational Design; Outcome or Result; Education Industry
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Desai, Mihir A., and Kathleen Luchs. "Finance in Weak Institutional Environments." Harvard Business School Module Note 206-127, March 2006.
  • January 2009 (Revised April 2009)
  • Case

Disaster in April: The Obligations of Kelly Construction

By: John D. Macomber, Christopher M. Gordon and Ben Creo
A construction company experiences a crane accident with multiple fatalities. The CEO, a client, and an employee must make choices to meet the company's obligations. Set in 2006, the case looks at the choices faced by board members of a museum that is an important... View Details
Keywords: Business Exit or Shutdown; Family Business; Insolvency and Bankruptcy; Governing and Advisory Boards; Compensation and Benefits; Contracts; Crisis Management; Construction Industry
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Macomber, John D., Christopher M. Gordon, and Ben Creo. "Disaster in April: The Obligations of Kelly Construction." Harvard Business School Case 209-099, January 2009. (Revised April 2009.)
  • December 2001 (Revised April 2003)
  • Case

Financing PPL Corporation's Growth Strategy

By: Benjamin C. Esty and Carrie Ferman
PPL Corp., an electric utility in Pennsylvania, needs to finance $1 billion of peaking plants as part of its new growth strategy. In February 2001, Steve May, director of finance for PPL's Global Division, is responsible for recommending a finance plan. After... View Details
Keywords: Financial Management; Financial Instruments; Project Finance; Financial Strategy; Corporate Finance; Leasing
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Esty, Benjamin C., and Carrie Ferman. "Financing PPL Corporation's Growth Strategy." Harvard Business School Case 202-045, December 2001. (Revised April 2003.)
  • Article

Distributionally Robust Optimization and Its Tractable Approximations

By: Joel Goh and Melvyn Sim
In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set of constraints. We present a modular framework to obtain an approximate solution to the problem that is distributionally robust and more... View Details
Keywords: Information Technology; Mathematical Methods; Operations
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Goh, Joel, and Melvyn Sim. "Distributionally Robust Optimization and Its Tractable Approximations." Operations Research 58, no. 4 (pt.1) (July–August 2010): 902–917.
  • 12 Aug 2020
  • Research & Ideas

Why Investors Often Lose When They Sue Their Financial Adviser

vulnerable, especially when they’ve been physically harmed by a product or service. Many people don’t realize that they’re waiving their right to sue in a US court when they sign contracts or click “Agree” to a company’s terms of service. Arbitration becomes their only... View Details
Keywords: by Danielle Kost; Financial Services
  • 05 Apr 2004
  • Research & Ideas

Six Ways to Build Trust in Negotiations

benefits you can provide and by emphasizing the damage that might result from an impasse. This technique can be particularly useful when a stalemate looms large and alternatives to agreement appear painful or costly. In such situations, a negotiator who senses he has... View Details
Keywords: by Deepak Malhotra
  • 18 Aug 2008
  • Research & Ideas

How Disruptive Innovation Changes Education

recourse to make up the class and must simply move on to the next course. There is no option for credit recovery. Likewise, no school can possibly offer all 34 Advanced Placement courses that are out there, and yet there are often... View Details
Keywords: by Martha Lagace; Education
  • 12 Aug 2002
  • Research & Ideas

‘Let the Buyer Beware’ Doesn’t Protect Investors

sells used furniture. The bank, like the auction house, prepares sales documents which are intended to do two things: first, to persuade the potential buyer to buy by putting forward positive information while suppressing negative data; and second, to protect the... View Details
Keywords: by D. Quinn Mills
  • 04 Mar 2009
  • Op-Ed

Credit is Not the Bogey

In this recession, we seek the bogey. If we can identify a villain, the recourse is simple: slay (or neutralize, or bail out) it. The search harks back to a management primer: identify the problem; find the solution. The search has... View Details
Keywords: by Nicolas P. Retsinas & Eric S. Belsky; Construction; Real Estate; Financial Services
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