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Publications
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- Faculty Publications (299)
Fairness
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- January 2024
- Supplement
Accounting Red Flags or Red Herrings at Catalent? (B)
By: Joseph Pacelli, ZeSean Ali and Tom Quinn
GlassHouse Research identified accounting red flags at Catalent. Fiat Lux Partners countered most of GlassHouse’s claims. Who was right? This update explores the aftermath of the short seller duel. View Details
Keywords: Accounting Audits; Acquisition; Budgets and Budgeting; Business Earnings; Earnings Management; Cost Accounting; Fair Value Accounting; Financial Reporting; Revenue Recognition; Integrated Corporate Reporting; Fairness; Moral Sensibility; Values and Beliefs; Government Legislation; Conflict of Interests; Announcements; Blogs; Debates; Lawsuits and Litigation; Stocks; Performance Productivity; Pharmaceutical Industry; Accounting Industry; United States
- 2024
- Conference Paper
Fair Machine Unlearning: Data Removal while Mitigating Disparities
By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
- October 2023 (Revised April 2024)
- Case
Accounting Red Flags or Red Herrings at Catalent? (A)
By: Joseph Pacelli, ZeSean Ali and Tom Quinn
Fund manager Janet Curie asked for a recommendation about the pharmaceutical company Catalent. The company seemed like a solid investment. However, a pair of research reports issued over the previous two months complicated this narrative. GlassHouse Research, a short... View Details
Keywords: Accounting Audits; Budgets and Budgeting; Earnings Management; Cost Accounting; Fair Value Accounting; Revenue Recognition; Integrated Corporate Reporting; Fairness; Moral Sensibility; Values and Beliefs; Government Legislation; Conflict of Interests; Announcements; Blogs; Debates; Investment; Trust; Business and Shareholder Relations; Pharmaceutical Industry; Accounting Industry; United States
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- June 2022 (Revised November 2022)
- Case
Larry Miller
By: Francesca Gino, Frances X. Frei, Hise Gibson and Alicia Dadlani
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