Publications

2023
Article

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong

While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details

Keywords: AI and Machine Learning

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

Keywords: Predictive Models; Bias; AI and Machine Learning

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2022
Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details

Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning

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June 2022 (Revised January 2025)
Technical Note

Causal Inference

By: Iavor I Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details

Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science

November 2019 (Revised April 2020)
Technical Note

The Life Sciences Revolution: A Technical Primer

By: Gary P. Pisano, William J. Anderson, Amitabh Chandra, Clarissa Ceruti and Stephanie Oestreich

For more than two decades, scientific advances have been driving profound changes in drug discovery and the drug industry itself. This case provides an overview and description of these technical and scientific advances. Written for the nonscientific reader, it may be... View Details

Keywords: Science; Technological Innovation; Technology; Pharmaceutical Industry; Biotechnology Industry

October 2017
Case

Quantopian: A New Model for Active Management

By: Sara Fleiss, Adi Sunderam, Luis M. Viceira and Caitlin Carmichael

Keywords: Big Data; Hedge Fund; Crowdsourcing; Investment Fund; Quantitative Hedge Fun; Algorithmic Data; Analytics and Data Science

Article

Selecting the Right Growth Metrics: Fewer but Better

By: Leonard A. Schlesinger

Keywords: Supply Chains; Big Data; Corporations; Franchising; Performance Metrics; Analytics and Data Science

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2001
Book

Evolve!: Succeeding in the Digital Culture of Tomorrow

By: R. M. Kanter

Keywords: Information Technology; Success