Publications

November 2024 (Revised January 2025)
Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai

In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details

May 2022
Case

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Stefani Ruper

Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details

Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation

August 2022 (Revised January 2023)
Case

Icario Health: AI to Drive Health Engagement

By: David C. Edelman

Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance. View Details

Keywords: Marketing; Health Care and Treatment; AI and Machine Learning; Health Industry; United States

25 Oct 2018
Cold Call Podcast

Vodafone’s Innovative Approach to Advanced Technologies

Keywords: Telecommunications

July 2024
Technical Note

What Is AI?

By: Michael Parzen and Jo Ellery

This note discusses definitions of artificial intelligence and covers the broad types of learning used in training AI, as well as explaining in detail how neural networks are built, trained, and used. View Details

Keywords: AI and Machine Learning

2023
Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details

Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement

SSRN

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18 Apr 2019
Research & Ideas

Open Innovation Contestants Build AI-Based Cancer Tool

difficult and time-consuming even in countries with sufficient medical resources, much less in developing countries where the need is great but fewer personnel have the time and training. Harvard researchers... View Details

Keywords: by Martha Lagace; Health; Medical Devices & Supplies

February 2024
Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett

In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details

Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States

May 2025 (Revised June 2025)
Supplement

Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)

By: Linda A. Hill and Lydia Begag

This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details

14 Mar 2019
News

You Might Be a Robot. This Is Not a Joke.

2025
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

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Video

Nicolás Jodal

Nicolás Jodal, Co-Founder and CEO of GeneXus, shares his reaction to recent advancements in Artificial Intelligence with Large Language Models (LLMs), comparing their emergence to the industrial revolution and underscoring the need for swift adaptation to the... View Details

2024
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details

Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science