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  • 10 Jul 2024
  • Video

Inequality in the Digital Age | An Interview with Kalinda Ukanwa from the University of Southern California

  • Research Summary

Overview

By: Himabindu Lakkaraju
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details
  • 17 Apr 2025
  • HBS Seminar

Maria De-Arteaga, McCombs School of Business, UT Austin

  • 18 Oct 2022
  • Research & Ideas

When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process.... View Details
Keywords: by Rachel Layne
  • March–April 2022
  • Article

School Choice in Chile

By: Jose Correa, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein and Felipe Subiabre
Centralized school admission mechanisms are an attractive way of improving social welfare and fairness in large educational systems. In this paper, we report the design and implementation of the newly established school choice system in Chile, where over 274,000... View Details
Keywords: Early Childhood Education; Secondary Education; Middle School Education; Family and Family Relationships; Welfare; Chile
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  • Article

Counterfactual Explanations Can Be Manipulated

By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
Keywords: Machine Learning Models; Counterfactual Explanations
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  • March 2022
  • Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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  • 11 Sep 2018
  • First Look

New Research and Ideas, September 11, 2018

Conference Proceedings More Amazon Effects: Online Competition and Pricing Behaviors By: Cavallo, Alberto Abstract—I study how online competition, with its shrinking margins, algorithmic pricing technologies, and the transparency of the... View Details
Keywords: Dina Gerdeman
  • 16 Dec 2022
  • Research & Ideas

Why Technology Alone Can't Solve AI's Bias Problem

proportion to their presence in the wider pool of qualified candidates. A fair algorithm may also change the applicants ranked highest, theoretically giving more opportunities for a variety of candidates to... View Details
Keywords: by Michael Blanding; Technology
  • 24 Apr 2019
  • Research & Ideas

The 'Amazon Effect' Is Changing Online Price Competition—and the Fed Needs to Pay Attention

just across time but also across locations,” Cavallo says, adding that these are important decisions for corporate executives wrestling with dynamic pricing. “Studying fairness concerns seems crucial to know how firms might be able to use... View Details
Keywords: by Roberta Holland; Retail
  • 28 Jul 2020
  • Research & Ideas

Racism and Digital Design: How Online Platforms Can Thwart Discrimination

inclusive design choices in a forthcoming article in the journal Marketing Intelligence Review. What follows is a condensed version: Build awareness. Digital platform builders must recognize how their design choices and algorithms can... View Details
Keywords: by Kristen Senz; Travel; Entertainment & Recreation; Service
  • 12 Jan 2023
  • News

‘Debiasing’ Debt with Data

aspects of that data might create bias, then you absolutely will not build your algorithm with intentionality.” Ballard decided to field-test his idea on another underserved business population: the fledgling cannabis industry. Good Tree... View Details
Keywords: Ralph Ranalli
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Privacy Risks of Algorithmic Recourse.” Michael Lingzhi Li : Named Edelman Laureate in 2022 by the Institute for Operations Research and the Management Sciences (INFORMS) for “Data-Driven COVID-19 Vaccine Development for Janssen” (... View Details
  • Web

Guidelines for Choosing Resources - Research Computing Services

provided those jobs are predeicted to finish before the anticipated start of the larger jobs. This depends on using the -W and -We options. This should promote efficient job throughput. LSF's scheduling algorithm prioritizes cluster... View Details
  • Web

2024 Reunion Presentations - Alumni

firm performance. Participants will leave this session with a deeper understanding of the vast array of ways in which managers, executives, and investors can invest in human capital more efficiently. The Dark Side of AI: Algorithmic Bias... View Details
  • Web

April Chen | MBA

areas of interest: AI/ML, civic tech, education tech, algorithmic fairness and justice Formative experience at the intersection of technology and business: In Spring 2022, I designed and taught CS 96,... View Details
  • Web

Managing Customers for Growth - Course Catalog

ethical considerations in algorithmic decision-making. Students will explore real-world cases on AI-driven personalization and algorithmic bias. Topics include: Hyper-personalization, uplift modeling, View Details
  • 16 Aug 2017
  • Research & Ideas

Researchers Use Google Street View to See the Future of Cities

response to the question, “Which place looks safer?” Those pairwise comparisons were converted into ranked scores. Artificial intelligence algorithms were used to teach a computer to predict scores from image features like shapes,... View Details
Keywords: by Michael Blanding; Real Estate
  • Web

The Strategic Case for Diversity in Digital Transformation - Blog: RGE Report

breakthroughs. Yet diversity must be meaningfully integrated into how innovation happens. IBM’s work on building fairer AI shows how inclusive design principles can uncover ethical blind spots early. Their AI ethics board and toolkits, such as AI View Details
  • 19 Jul 2019
  • Blog Post

Making a Broader Impact with Multiple Disciplines

fair project in which I used LEGOs to build an intelligently actuated tool for precision brain biopsy.  My inspiration came from cutting-edge research conducted at Johns Hopkins University, where surgeons used tele-operated robotic... View Details