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- All HBS Web (299)
- Faculty Publications (148)
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- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
is human ingenuity—fueled by unique experiences and bespoke skills—that holds the key to the most creative and unprecedented solutions, our study indicates. The future lies not in human versus machine View Details
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial...
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Keywords:
Crowdsourcing;
AI Algorithms;
Health Care and Treatment;
Collaborative Innovation and Invention;
AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
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). These outliers often originate from covariate shift,...
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 30 May 2023
- Research & Ideas
Can AI Predict Whether Shoppers Would Pick Crest or Colgate?
Companies have long poured time and money into surveying customers. Now, with new research showing artificial intelligence provides plenty of rich data about shopper preferences, could customer surveys become obsolete? Companies turn to...
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by Kristen Senz
- 06 Jun 2017
- First Look
First Look at New Research and Ideas: June 6, 2017
Ultimately, Hawkins believed that Numenta could be a catalyst in creating intelligent machines that would lay the foundation for the next generation of computing with potentially broad ranging commercial...
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Sean Silverthorne
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. 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...
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- 26 Sep 2023
- Book
Digital Strategy: A Handbook for Managing a Moving Target
ever-increasing number of sectors, to the point that the digital-based economy will soon become the new normal (Adner et al., 2019; Cennamo et al., 2020; Dagnino & Resciniti, 2021). Concepts such as big data, artificial intelligence...
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- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
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- 02 Jun 2022
- Research & Ideas
Blissful Thinking: When It Comes to Finding Happiness, 'Your Dreams Are Liars'
the research problem, at this point. I’m the subject and I’m the researcher. I’m like a perpetual-motion machine of happiness research.” In this conversation with the HBS Alumni Bulletin, Brooks talks about why happiness has become such a...
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by Dan Morrell
- 30 Apr 2013
- First Look
First Look: April 30
entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The CEO, Christopher Ahlberg, is wrestling with several key decisions about where to take the...
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Sean Silverthorne
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes...
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Keywords:
Human Resource Management;
Human Capital Development;
Human Resource Practices;
Talent;
Talent Acquisition;
Talent Development;
Talent Development And Retention;
Talent Management;
Talent Retention;
Labor Flows;
Labor Management;
Labor Market;
Strategy Development;
Strategy Management;
Strategy Execution;
Strategy And Execution;
Strategic Change;
Transformations;
Organization;
Organization Alignment;
Organization Design;
Organizational Adaptation;
Organizational Effectiveness;
Management Challenges;
Management Of Business And Political Risk;
Change Leadership;
Future Of Work;
Future;
Skills Gap;
Skills Development;
Skills;
Offshoring And Outsourcing;
Investment;
Capital Allocation;
Work;
Work Culture;
Work Force Management;
Work/life Balance;
Work/family Balance;
Work-family Boundary Management;
Workers;
Worker Productivity;
Worker Performance;
Work Engagement;
Work Environment;
Work Environments;
Productivity;
Organization Culture;
Soft Skills;
Technology Management;
Technological Change;
Technological Change: Choices And Consequences;
Technology Diffusion;
Disruptive Technology;
Global Business;
Global;
Workplace;
Workplace Context;
Workplace Culture;
Workplace Wellness;
Collaboration;
Competencies;
Productivity Gains;
Digital;
Digital Transition;
Competitive Dynamics;
Competitiveness;
Competitive Strategy;
Data Analytics;
Data;
Data Management;
Data Strategy;
Data Protection;
Aging Society;
Diversity;
Diversity Management;
Millennials;
Communication Complexity;
Communication Technologies;
International Business;
Work Sharing;
Global Competitiveness;
Global Corporate Cultures;
Intellectual Property;
Intellectual Property Management;
Intellectual Property Protection;
Intellectual Capital And Property Issues;
Globalization Of Supply Chain;
Inequality;
Recruiting;
Hiring;
Hiring Of Employees;
Training;
Job Cuts And Outsourcing;
Job Performance;
Job Search;
Job Design;
Job Satisfaction;
Jobs;
Employee Engagement;
Employee Attitude;
Employee Benefits;
Employee Compensation;
Employee Fairness;
Employee Relationship Management;
Employee Retention;
Employee Selection;
Employee Motivation;
Employee Feedback;
Employee Coordination;
Employee Performance Management;
Employee Socialization;
Process Improvement;
Application Performance Management;
Stigma;
Institutional Change;
Candidates;
Digital Enterprise;
Cultural Adaptation;
Cultural Change;
Cultural Diversity;
Cultural Context;
Cultural Strategies;
Cultural Psychology;
Cultural Reform;
Performance;
Performance Effectiveness;
Performance Management;
Performance Evaluation;
Performance Appraisal;
Performance Feedback;
Performance Measurement;
Performance Metrics;
Performance Measures;
Performance Efficiency;
Efficiency;
Performance Analysis;
Performance Appraisals;
Performance Improvement;
Automation;
Artificial Intelligence;
Technology Companies;
Managerial Processes;
Skilled Migration;
Assessment;
Human Resources;
Management;
Human Capital;
Talent and Talent Management;
Retention;
Demographics;
Labor;
Strategy;
Change;
Change Management;
Transformation;
Organizational Change and Adaptation;
Organizational Culture;
Working Conditions;
Information Technology;
Technology Adoption;
Disruption;
Economy;
Competition;
Globalization;
AI and Machine Learning;
Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- 03 Jan 2023
- Book
Confront Workplace Inequity in 2023: Dig Deep, Build Bridges, Take Collective Action
The work of Timnit Gebru and Margaret Mitchell offers a high-profile example, Opie notes. Gebru, who’s Black, and Mitchell, who’s white, explored fairness in machine learning as computer scientists at Google. They raised controversial...
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by Pamela Reynolds
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
the Author Dina Gerdeman is senior writer at Harvard Business School Working Knowledge. [Image: Cecilie_Arcurs] Related Reading Use Artificial Intelligence to Set Sales Targets That Motivate Don't Turn Your Marketing Function Over to AI...
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by Dina Gerdeman
- 17 Apr 2019
- Research & Ideas
How Managers Stifle Creativity
Bryant Ford Professor of Business Administration, Emerita, reflected on her research and its impact in an essay in Perspectives on Psychological Science, Educating Leaders Who Make a Difference in the World (pdf). More recently, she discussed how artificial View Details
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by Danielle Kost
- 09 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
Using information collected during a customer’s first purchase, a new marketing tool that leverages machine learning technology can provide firms with valuable predictions about the customer’s future behavior, says Eva Ascarza, a...
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- 30 Oct 2017
- Research & Ideas
Asking Questions Can Get You a Better Job or a Second Date
intelligent as well.” The research, published in the paper It Doesn’t Hurt to Ask: Question-Asking Increases Liking, examined data from online chats and face-to-face speed dating conversations. In addition to Brooks, the coauthors were...
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by Rachel Layne
- 07 Aug 2013
- What Do You Think?
Is There Still a Role for Judgment in Decision-Making?
were quite eloquent. Aim asked: "So, I need to make a proposal to my girlfriend. What should I use to make the correct decision? Intuition or regression analysis?" Paulina Czentor added: "And going one step further, let View Details
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by James Heskett
- 25 May 2021
- Research & Ideas
White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?
travel industry. People eager to shake off their COVID-19 cabin fever are gearing up to take vacations, raising Airbnb bookings by 52 percent last quarter from a year earlier. Harnessing artificial intelligence to reduce racial economic...
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- 03 Apr 2019
- Book
Fintech's Game-Changing Opportunities for Small Business
Artificial intelligence, machine learning, and big data will transform financial services and small-business lending long before they impact driverless cars, predicts Harvard Business School Senior Fellow Karen G. Mills. “As we speak,...
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- 01 May 2018
- First Look
First Look at New Research and Ideas, May 1, 2018
Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP) No abstract available. Purchase this case:...
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Keywords:
Sean Silverthorne