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  • All HBS Web  (1,194)
    • News  (239)
    • Research  (756)
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    • Multimedia  (11)
  • Faculty Publications  (483)

Show Results For

  • All HBS Web  (1,194)
    • News  (239)
    • Research  (756)
    • Events  (4)
    • Multimedia  (11)
  • Faculty Publications  (483)
Page 1 of 1,194 Results →
  • 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
Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods
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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
Keywords: Fairness; Management Practices and Processes; Decision Choices and Conditions
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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
Keywords: Price; Income; Consumer Behavior; Fair Value Accounting; Outcome or Result
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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
Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods
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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

      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
      • 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
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      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.)
      • 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
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      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.
      • 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
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      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.)

        The Impact of Scheduling Fairness on Employee Turnover

        Employee turnover remains one of the most persistent challenges across industries, with the leisure and hospitality sector experiencing some of the highest quit rates in the United States. This issue is particularly pronounced in restaurants, where the average... View Details

        • 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
        Keywords: Price; Fairness
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        Bertsimas, Dimitris, Vivek F. Farias, and Nikolaos Trichakis. "The Price of Fairness." Operations Research 59, no. 1 (January–February 2011): 17–31.
        • 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
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        Welch, Kyle Travis. "Private Equity's Diversification Illusion: Economic Comovement and Fair Value Reporting." Working Paper, January 2014.
        • 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
        Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods
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        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.
        • September 2024
        • Background Note

        Copyright and Fair Use

        By: David B. Yoffie
        The U.S. Copyright Office defines a copyright as “a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.” Two core principles of copyright are originality and fixation. A work is... View Details
        Keywords: AI and Machine Learning; Copyright; Lawsuits and Litigation; United States
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        Yoffie, David B. "Copyright and Fair Use." Harvard Business School Background Note 725-394, September 2024.
        • 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
        Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods
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        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.
        • 2004
        • Working Paper

        Fair Pricing

        By: Julio J. Rotemberg
        Citation
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        Rotemberg, Julio J. "Fair Pricing." NBER Working Paper Series, No. w10915, November 2004.

          Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

          We introduce a new family of fairness definitions that interpolate between statistical and individual notions of fairness, obtaining some of the best properties of each. We show that checking whether these notions are satisfied is computationally hard in the worst... View Details
          • 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
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