Filter Results:
(57)
Show Results For
- All HBS Web (123)
- Faculty Publications (21)
Show Results For
- All HBS Web (123)
- Faculty Publications (21)
Page 1 of 57
Results →
Sort by
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 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).
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2020
- Article
'How Do I Fool You?': Manipulating User Trust via Misleading Black Box Explanations
By: Himabindu Lakkaraju and Osbert Bastani
Lakkaraju, Himabindu, and Osbert Bastani. "'How Do I Fool You?': Manipulating User Trust via Misleading Black Box Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2020): 79–85.
- 14 Aug 2017
- Conference Presentation
Interpretable and Explorable Approximations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Interpretable and Explorable Approximations of Black Box Models." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), Halifax, NS, Canada, August 14, 2017.
- October 2008
- Article
Organizational Responses to Environmental Demands: Opening the Black Box
By: Magali Delmas and Michael W. Toffel
This paper combines new and old institutionalism to explain differences in organizational strategies. We propose that differences in the influence of corporate departments lead their facilities to prioritize different external pressures and thus adopt different... View Details
Delmas, Magali, and Michael W. Toffel. "Organizational Responses to Environmental Demands: Opening the Black Box." Strategic Management Journal 29, no. 10 (October 2008): 1027–1055.
- 02 Nov 2006
- Working Paper Summaries
Organizational Response to Environmental Demands: Opening the Black Box
Keywords: by Magali A. Delmas & Michael W. Toffel
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 2001
- Article
From Guilford to Creative Synergy: Opening the Black Box of Team Level Creativity
By: T. R. Kurtzberg and T. M. Amabile
Previous research, from Guilford's founding tradition to more modern research on individual creativity and general group processes, falls short of adequately describing team-level creativity. Alhough researchers have addressed brainstorming in groups with mixed... View Details
Kurtzberg, T. R., and T. M. Amabile. "From Guilford to Creative Synergy: Opening the Black Box of Team Level Creativity." Special Issue on Commemorating Guilford's 1950 Presidential Address Creativity Research Journal 13, nos. 3/4 (2001).
- 2011
- Working Paper
Inside the Black Box of the Corporate Staff: An Exploratory Analysis Through the Lens of E-Mail Networks
The corporate staff is central in theories of the multi-business firm, but empirical evidence on its function is limited. In this paper, we examine the high-level role of two units of a corporate staff through analysis of electronic communications. We find sharp... View Details
Keywords: Theory; Business Ventures; Internet and the Web; Communication; Employment; Management Teams; Networks
Kleinbaum, Adam M., and Toby Stuart. "Inside the Black Box of the Corporate Staff: An Exploratory Analysis Through the Lens of E-Mail Networks." Harvard Business School Working Paper, No. 12-051, December 2011.
- 13 Dec 2022
- Research & Ideas
The Color of Private Equity: Quantifying the Bias Black Investors Face
Black venture capital and growth investors have a much harder time getting funding than white investors, because—despite efforts to bring more racial diversity to financial services—private equity’s gatekeepers remain mostly white,... View Details
- 08 Aug 2023
- Research & Ideas
Black Employees Not Only Earn Less, But Deal with Bad Bosses and Poor Conditions
A racial salary gap has persisted in the US for more than 50 years among minority groups, with Black people currently earning 30 to 35 percent less than Whites. Now new research shows that in addition to receiving smaller paychecks, View Details
Keywords: by Michael Blanding
- 16 Sep 2019
- Research & Ideas
Crowdsourcing Is Helping Hollywood Reduce the Risk of Movie-Making
barriers, even if there are limits to how helpful it can be.” The success of films on the Black List shows that even with all of its flaws, a list crowdsourced by experts can be an incredibly strong predictive tool, helping to pick... View Details
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions, guide managerial decisions, and... View Details
Keywords: by Kristen Senz
- 10 Jan 2012
- First Look
First Look: January 10
be reinforced in the labor market but do not result in weaker political preferences for redistribution. Download the paper: http://www.hbs.edu/research/pdf/12-048.pdf Inside the Black Box of the Corporate... View Details
Keywords: Sean Silverthorne
- 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
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 02 Jun 2021
- Research & Ideas
A Rare Find in Health Care: A Simple Solution to Racial Inequity
for these long-standing disparities.” For the past 20 years, Chandra has been examining differences in health outcomes between white and Black Americans, searching for solutions to shrink the gap. In a recent working paper published... View Details
- October 2010 (Revised November 2010)
- Background Note
Plavix: Drugs in the Age of Personalized Medicine
By: Richard G. Hamermesh, Mara G. Aspinall and Rachel Gordon
PIavix, one of the world's best selling drugs in 2010, appears to have a limited future. Its patent was due to expire soon, and recently new data had been discovered that indicated that a small subset of the population would be at risk for stroke, heart attack, or even... View Details
Keywords: Health Care and Treatment; Product Positioning; Business and Government Relations; Genetics; Competitive Strategy; Pharmaceutical Industry
Hamermesh, Richard G., Mara G. Aspinall, and Rachel Gordon. "Plavix: Drugs in the Age of Personalized Medicine." Harvard Business School Background Note 811-001, October 2010. (Revised November 2010.)
- 2022
- Working Paper
Racial Diversity in Private Capital Fundraising
By: Johan Cassel, Josh Lerner and Emmanuel Yimfor
Black- and Hispanic-owned funds control a very modest share of assets in the private capital
industry. We find that the sensitivity of follow-on fundraising to fund performance
is greater for minority-owned groups, particularly for underperforming groups. We... View Details
Keywords: Buyouts; Capital Formation; Minorities; Venture Capital; Minority-owned Businesses; Race; Diversity; Investment Funds; Financial Services Industry
Cassel, Johan, Josh Lerner, and Emmanuel Yimfor. "Racial Diversity in Private Capital Fundraising." Harvard Business School Working Paper, No. 23-020, September 2022.