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- All HBS Web
(2,829)
- People (14)
- News (647)
- Research (1,560)
- Events (19)
- Multimedia (9)
- Faculty Publications (830)
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- 21 Mar 2017
- First Look
First Look at New Research, March 21
activity the CEOs undertake during one workweek and (ii) a machine learning algorithm that projects these data onto scalar CEO behavior indices. Low values of the index are associated with plant visits and... View Details
Keywords: Sean Silverthorne
- Web
Transforming Education through Social Entrepreneurship - Course Catalog
a wide range of topics across K-12 and higher education. Topics include education reform efforts, adaptive and personalized learning approaches, disruptive innovations such as AI and machine learning, and... View Details
- January 2025
- Case
Ontra: Embracing GenAI in the Legal Technology Industry
By: Christopher Stanton and George Gonzalez
Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details
Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States
Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
- 2022
- Working Paper
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
- February 2022
- Teaching Note
Borusan CAT: Monetizing Prediction in the Age of AI
By: Navid Mojir
Teaching Note for HBS Case No. 521-053. View Details
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, and big data combined with rapid... View Details
Keywords: by James Heskett
- October 2018
- Case
Shield AI
By: Mitchell Weiss and A.J. Steinlage
Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details
Keywords: Public Entrepreneurship; Artificial Intelligence; AI; Entrepreneurial Sales; Government; Defense; Shield AI; Brandon Tseng; Ryan Tseng; Andrew Reiter; Robots; Robotics; UAV; UAVs; Government Sales; Entrepreneurship; Public Sector; Sales; Government Administration; National Security; Business and Government Relations; AI and Machine Learning; Technology Industry; United States
Weiss, Mitchell, and A.J. Steinlage. "Shield AI." Harvard Business School Case 819-062, October 2018.
- 20 Jul 2017
- News
Life Lab Nurtures Early Stage Startup Day Zero Diagnostics
recent addition to the Harvard Innovation Labs ecosystem. DZD comprises a multi-disciplinary team of Harvard affiliates whose expertise in medicine, genome sequencing, and machine learning is helping doctors... View Details
- Profile
Pranav Kothari
Curiosity has always propelled Pranav Kothari. As a child in India, he was intrigued by his family's wholesale textile business. "I was always interested in how things work, how they're made, how machines produce," Pranav says.... View Details
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
- 04 Sep 2019
- News
Advancing Diagnostics that Can Save Lives
the lab. In 2016 Lee and four Harvard cofounders launched DZD to apply genome sequencing and machine learning to the problem of growing antibiotic resistance. Their technology helps doctors diagnose... View Details
Keywords: Susan Young
- 10 Jan 2017
- News
Street Smarts
“Today, the car is a mobile computing platform,” says Mistele. “We pull information from various sensors in real time and create services around it.” For example, INRIX uses machine learning to provide... View Details
- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
Mills, Karen G., and Annie Dang. "Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success." In Big Data in Small Business, edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter, and Torsten Ringberg. Edward Elgar Publishing, 2021.
- Web
Introduction - The Audience - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
powerful industrial enterprise to which satisfied workers devoted themselves. Fortune magazine, for example—the quintessence of sophistication in graphic design and photojournalism—catered to the elite managerial class, portraying the interaction of worker and View Details
- 02 Jan 2019
- What Do You Think?
SUMMING UP: Do We Need an Artificial Intelligence Czar?
inputs to machine learning and the creation of artificial intelligence. Each of these related fields of activity and opportunity encompasses a wide swath of the economy. Together, they describe a sector that... View Details
- Web
Greg Lipstein Archives | Social Enterprise
Curriculum Social Enterprise Student Club Social Entrepreneurship Summer Fellows Technology for Good Transformative Impact Tri-Sector Impact 1 Results Machine Learning for Social Impact Greg Lipstein 21 Dec... View Details
- 19 Jul 2011
- News
Brightening the Future
life,” Ayala notes. Under the auspices of community partnerships, the lanterns will be used in public facilities such as schools and clinics during the day and rented out for a nominal fee at night. The rental fees can be pooled to enable the community to purchase... View Details
- 01 Feb 1998
- News
Short Takes
altruistic reasons for serving, many also reported that such participation allowed them to practice business skills and make professional contacts not always possible through their everyday duties. "One focus group of top-level managers agreed that what they View Details
Keywords: Judith A. Ross