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Fairness
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- 2023
- Working Paper
The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia
By: Caleb Kwon and Ananth Raman
Effective in eight jurisdictions and banned in four, Fair Workweek Laws (FWL) aim to increase the predictability and stability of work schedules. Among other requirements, these laws penalize employers for unilaterally adjusting work schedules without providing some... View Details
Kwon, Caleb, and Ananth Raman. "The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia." Working Paper, October 2023.
- September 2023 (Revised September 2024)
- Technical Note
Measuring and Managing Social Impact
By: Brian Trelstad, Gerald Chertavian and Susan Pinckney
A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details
Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States
Trelstad, Brian, Gerald Chertavian, and Susan Pinckney. "Measuring and Managing Social Impact." Harvard Business School Technical Note 324-017, September 2023. (Revised September 2024.)
- September 2023 (Revised February 2024)
- Case
Accelerating with Caution: Forecasting and Managing birddogs' Growth
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
Keywords: Inventory; Working Capital; Forecasting and Prediction; Organizational Change and Adaptation; Financing and Loans; Apparel and Accessories Industry
Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs' Growth." Harvard Business School Case 224-023, September 2023. (Revised February 2024.)
- September 2023
- Supplement
Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
Keywords: Working Capital; Forecasting and Prediction; Expansion; Production; Apparel and Accessories Industry
Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)." Harvard Business School Supplement 224-024, September 2023.
- August 2023 (Revised December 2023)
- Case
Automating Morality: Ethics for Intelligent Machines
By: Joseph L. Badaracco Jr. and Tom Quinn
As autonomy became a more significant part of modern life – most notably in autonomous vehicles (AVs), such as Teslas – ethical debates about whether and how to impart ethics to machines heated up. Utilitarians pointed out that autonomous vehicles crashed much less... View Details
Keywords: Cost vs Benefits; Judgments; Fairness; Moral Sensibility; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Disruptive Innovation; Technology Adoption; Risk and Uncertainty; Cognition and Thinking; Technological Innovation; Auto Industry; Technology Industry; Africa; Asia; Europe; North and Central America; Oceania; South America
Badaracco, Joseph L., Jr., and Tom Quinn. "Automating Morality: Ethics for Intelligent Machines." Harvard Business School Case 324-007, August 2023. (Revised December 2023.)
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- March 2023 (Revised April 2023)
- Case
Independent Governance of Meta’s Social Spaces: The Oversight Board
Julie Owono is a member of the Oversight Board, an outside entity with the authority to make binding decisions on tricky moderation questions for Meta's companies. She considers the Board's impact, and its future. View Details
Keywords: Business and Government Relations; Social Media; Fairness; Governing and Advisory Boards; Technology Industry; Communications Industry
Shapiro, Jesse M., Natalia Rigol, Benjamin N. Roth, and William R. Kerr. "Independent Governance of Meta’s Social Spaces: The Oversight Board." Harvard Business School Case 823-111, March 2023. (Revised April 2023.)
- March 2023 (Revised March 2024)
- Case
The Purdue Pharma Bankruptcy: Settling the Opioid Crisis
By: Kristin Mugford, Carin-Isabel Knoop and Susan Pinckney
How to get to a fair outcome for claimants in the Purdue Pharma bankruptcy given its significant role in the U.S. opioid crisis. View Details
Keywords: Regulation; Ethics; Fairness; Insolvency and Bankruptcy; Government Legislation; Courts and Trials; Laws and Statutes; Lawsuits and Litigation; Legal Liability; Crime and Corruption; Negotiation Offer; Negotiation Participants; Negotiation Style; Product Design; Product Development; Brands and Branding; Marketing Strategy; Trust; Government and Politics; Law; Negotiation; Operations; Ownership; Marketing; Social Psychology; Health Care and Treatment; Pharmaceutical Industry; United States
Mugford, Kristin, Carin-Isabel Knoop, and Susan Pinckney. "The Purdue Pharma Bankruptcy: Settling the Opioid Crisis." Harvard Business School Case 223-060, March 2023. (Revised March 2024.)
- Working Paper
Group Fairness in Dynamic Refugee Assignment
By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic
location within a host country to which the refugee or asylum seeker is... View Details
Freund, Daniel, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, and Wentao Weng. "Group Fairness in Dynamic Refugee Assignment." Harvard Business School Working Paper, No. 23-047, February 2023.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2022
- Working Paper
Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections
By: Kevin Dano, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec and Vincent Pons
In theory, free and fair elections can improve the selection of politicians and incentivize them to exert effort. In practice, incumbency advantage and coordination issues may lead to the (re)election of bad politicians. We ask whether these two forces compound each... View Details
Keywords: Political Parties; Incumbent Politicians; Democracy; Political Elections; Competitive Advantage
Dano, Kevin, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec, and Vincent Pons. "Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections." NBER Working Paper Series, No. 30541, October 2022.
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 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.
- June 2022 (Revised November 2022)
- Case
Larry Miller
Under the leadership of Larry Miller, chairman and former president of Nike’s Air Jordan brand, annual revenues for the Jordan brand soared from $150 million to over $4 billion. But for over 40 years, Miller guarded a secret. When he was younger, he spent nearly a... View Details
Keywords: Race; Ethnicity; Fairness; Values and Beliefs; Job Offer; Employment; Social Issues; Perspective; Personal Development and Career; Apparel and Accessories Industry; United States; Pennsylvania; Philadelphia; Portland; Oregon
Gino, Francesca, Frances X. Frei, Hise Gibson, and Alicia Dadlani. "Larry Miller." Harvard Business School Case 922-041, June 2022. (Revised November 2022.)
- 2022
- Book
A Political Economy of Justice
By: Danielle Allen, Yochai Benkler, Leah Downey, Rebecca Henderson and Joshua Simons
Defining a just economy in a tenuous social-political time.
If we can agree that our current social-political moment is tenuous and unsustainable—and indeed, that may be the only thing we can agree on right now—then how do markets, governments, and people... View Details
If we can agree that our current social-political moment is tenuous and unsustainable—and indeed, that may be the only thing we can agree on right now—then how do markets, governments, and people... View Details
Keywords: Political Economy; Social Justice; Capitalism; Business And Society; Economy; Society; Fairness; Economic Systems; Corporate Social Responsibility and Impact; United States
Allen, Danielle, Yochai Benkler, Leah Downey, Rebecca Henderson, and Joshua Simons, eds. A Political Economy of Justice. Chicago: University of Chicago Press, 2022.
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- March 2022 (Revised March 2024)
- Case
DaVita Responds to COVID
By: Susanna Gallani and David Lane
Early in August 2021, DaVita CEO Javier Rodriguez was assessing the ongoing impact of the COVID-19 pandemic on his firm, which provided life-sustaining kidney dialysis to roughly 240,000 people. Effective infection control practices and information sharing had ensured... View Details
Keywords: COVID-19 Pandemic; Change Management; Communication; Talent and Talent Management; Fairness; Values and Beliefs; Corporate Accountability; Health Care and Treatment; Health Pandemics; Human Resources; Employee Relationship Management; Retention; Wages; Working Conditions; Leadership Style; Crisis Management; Organizational Culture; Health Industry; United States
Gallani, Susanna, and David Lane. "DaVita Responds to COVID." Harvard Business School Case 122-007, March 2022. (Revised March 2024.)