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Show Results For
- All HBS Web
(1,174)
- News (227)
- Research (747)
- Events (2)
- Multimedia (10)
- Faculty Publications (472)
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- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- February 2022
- Technical Note
Ethical Analysis: Fairness
By: Nien-hê Hsieh
Concerns about fairness can arise across a wide range of contexts. They include the treatment of others, how much things cost, how much workers are paid, the outcome of a decision, and how we assign benefits and burdens across individuals. What counts as fair in a... View Details
Hsieh, Nien-hê. "Ethical Analysis: Fairness." Harvard Business School Technical Note 322-097, February 2022.
- October 2011
- Article
Fair Pricing
By: Julio J. Rotemberg
This paper explores the consequences of supposing that consumers see a firm as fair if they cannot reject the hypothesis that the firm is somewhat benevolent towards them. When consumers can reject this hypothesis, some become angry, which is costly to the firm. The... View Details
Rotemberg, Julio J. "Fair Pricing." Journal of the European Economic Association 9, no. 5 (October 2011).
- 17 Jan 2017
- Blog Post
2017 Harvard Startup Fair
Are you a startup looking for talent? For the seventh straight year, Harvard is hosting the Startup Career Fair to showcase innovative startups developing diverse new products and ideas. This Fair is a... View Details
Keywords: All Industries
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
The Price of Fairness
We study resource allocation problems that involve multiple self-interested parties and a central decision maker. We introduce and study the price of fairness, which is the... View Details
- 20 Sep 2012
MBA Fair
- 2019
- Working Paper
Southern Responses to Gold Certification: Cooperate, Compete, Reject, Revise
By: Kristin Sippl
Artisanal gold mining is a Southern subsistence livelihood posing both challenges and opportunities for sustainable development. In 2011, Fairtrade International launched a certification program to address sustainability problems in the sector. Southern activists,... View Details
Keywords: Eco-labeling; Extractive Industries; Emerging Economies; Fair Trade; Environmental Sustainability; Standards; Programs; Governance Compliance; Competition; Adaptation; Mining Industry
Sippl, Kristin. "Southern Responses to Fair Trade Gold: Cooperation, Competition, Supplementation." Harvard Business School Working Paper, No. 19-055, November 2018. (Forthcoming in Ecological Economics.)
Fair Competition
I began researching the topic of fair competition in graduate school, where I became fascinated with Louis Brandeis’s advocacy for so-called fair trade laws. These laws looked a lot like price-fixing to me,... View Details
- 2022
- Article
Regulatory Treatment of Changes in Fair Value and the Composition of Banks' Investment Portfolios
By: Michael Iselin, Jung Koo Kang and Joshua Madsen
In their implementation of Basel III, U.S. bank regulators are again including changes in the fair value of available-for-sale (AFS) debt securities in Tier 1 capital, but only for the largest U.S. banks. This paper investigates a potential impact of expanding this... View Details
Keywords: Fair Value Accounting; SFAS 115; Basel III; Governing Rules, Regulations, and Reforms; Banks and Banking; Debt Securities; Credit; Risk and Uncertainty; Investment Portfolio; Decision Making; Banking Industry; United States
Iselin, Michael, Jung Koo Kang, and Joshua Madsen. "Regulatory Treatment of Changes in Fair Value and the Composition of Banks' Investment Portfolios." Journal of Financial Reporting 7, no. 1 (2022): 123–143.
- January – February 2011
- Article
The Price of Fairness
By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis
In this paper we study resource allocation problems that involve multiple self-interested parties or players and a central decision maker. We introduce and study the price of fairness, which is the relative system efficiency loss under a "fair" allocation assuming that... View Details
Bertsimas, Dimitris, Vivek F. Farias, and Nikolaos Trichakis. "The Price of Fairness." Operations Research 59, no. 1 (January–February 2011): 17–31.
- 2018
- Working Paper
Hot or Not? What Makes Product Categories Attractive to Fair Trade and Eco-labeling Organizations
By: Kristin Sippl
This paper probes extant theory on product diversification in the empirical realm of fair trade and eco-labeling organizations (i.e., certification organizations). While much is known about diversification in for-profit firms, less is known about the more complex... View Details
Keywords: Hybrid Organizations; Fair Trade; Eco-labeling; Goods and Commodities; Diversification; Strategy
Sippl, Kristin. "Hot or Not? What Makes Product Categories Attractive to Fair Trade and Eco-labeling Organizations." Harvard Business School Working Paper, No. 19-023, September 2018. (Work in Progress.)
- Awards
Fairness in Artificial Intelligence Grant
Recipient of a 2021 Fairness in AI Grant from the National Science Foundation and Amazon. View Details
- 2014
- Working Paper
Private Equity's Diversification Illusion: Economic Comovement and Fair Value Reporting
By: Kyle Travis Welch
This study examines how accounting has informed private equity diversification claims and demand for private equity investments. Despite research showing private equity lacks portfolio diversification benefits, those marketing private equity assets continue to... View Details
Keywords: Fair Value; Access To Capital; IAS 39; FAS No. 157; FASB; IASB; ASC 820; Covariance Risk; Accounting Beta; Accounting; Private Sector; Valuation; Corporate Finance; Asset Management; Cost of Capital; Private Equity; Accounting Industry; Financial Services Industry; Europe; North and Central America
Welch, Kyle Travis. "Private Equity's Diversification Illusion: Economic Comovement and Fair Value Reporting." Working Paper, January 2014.
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- 19 Sep 2013
Amsterdam MBA Fair
This fair is hosted by the Ivy Circle bringing admissions representatives and alumni together from MBA programs throughout the US and Europe. View Details
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- 18 Sep 2014
Amsterdam MBA Fair
Meet HBS alumni and staff at this event brought to you by Ivy Circle Netherlands with support of Strategy&. The event will feature top MBA programs in the United States and Europe. View Details
- 15 Sep 2016
Amsterdam MBA Fair
Meet HBS alumni and Admissions staff at this event brought to you by Ivy Circle Netherlands (with the support of Roland Berger Strategy Consultants). The event will feature top MBA programs in the United States and Europe. View Details