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- Faculty Publications (450)
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All HBS Web
(1,354)
- Faculty Publications (450)
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic...
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Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- 2020
- Book
Work, Mate, Marry, Love: How Machines Shape Our Human Destiny
By: Debora L. Spar
Covering a time frame that ranges from 8000 BC to the present, and drawing upon both Marxist and feminist theories, the book argues that nearly all the decisions we make in our most intimate lives—whom to marry, how to have children, how to have sex, how to think about...
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Keywords:
Innovation;
Family;
Women;
Reproduction;
Artificial Intelligence;
Robots;
Gender;
Demography;
History;
Innovation and Invention;
Relationships;
Society;
Information Technology;
AI and Machine Learning;
Biotechnology Industry;
Computer Industry;
Health Industry;
Information Technology Industry;
Manufacturing Industry;
Technology Industry;
Africa;
Asia;
Europe;
Latin America;
North and Central America
Spar, Debora L. Work, Mate, Marry, Love: How Machines Shape Our Human Destiny. New York: Farrar, Straus and Giroux, 2020.
- July 2020 (Revised September 2020)
- Case
MobSquad
By: Prithwiraj Choudhury, William R. Kerr and Susie L. Ma
Irfhan Rawji (MBA 2004) launched MobSquad in October 2018 to help American tech start-ups retain hard-to-find talent, many of whom struggled with U.S. work visa issues, such as software engineers with experience in artificial intelligence, machine learning, or data...
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Keywords:
Work Visas;
H1-B;
Business Ventures;
Business Startups;
Labor;
Human Capital;
Human Resources;
Crisis Management;
Employment Industry;
Canada;
United States
Choudhury, Prithwiraj, William R. Kerr, and Susie L. Ma. "MobSquad." Harvard Business School Case 821-010, July 2020. (Revised September 2020.)
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it....
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Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders....
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Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the...
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Keywords:
Artificial Intelligence;
Diagnosis;
Computer-assisted;
Image Interpretation;
Machine Learning;
Radiography;
Panoramic Radiograph;
AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- May 2020
- Case
Numenta in 2020: The Future of AI
By: David B. Yoffie, Cameron Armstrong, Mei Tao and Marta Zwierz
In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This case explores the challenges of building a business...
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Keywords:
Artificial Intelligence;
Monetization;
Information Technology;
Strategy;
Intellectual Property;
Business Model;
AI and Machine Learning;
Technology Industry
Yoffie, David B., Cameron Armstrong, Mei Tao, and Marta Zwierz. "Numenta in 2020: The Future of AI." Harvard Business School Case 720-463, May 2020.
- May 2020
- Teaching Note
Chem-Ecol
By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld
Dahra Allen acquired Chem-Ecol, a machine oil recycling business, for C$13.3 million in December of 2012. Allen decided to hire a sales director and the case discussion largely focuses on selecting the sales director from her short-list of five candidates. During the...
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- 2020
- Article
Public Sentiment and the Price of Corporate Sustainability
By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong...
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Keywords:
Sustainability;
ESG;
ESG (Environmental, Social, Governance) Performance;
Investment Management;
Investment Strategy;
Big Data;
Machine Learning;
Environment;
Environmental Sustainability;
Corporate Governance;
Performance;
Asset Pricing;
Investment;
Management;
Strategy;
Human Capital;
Public Opinion;
Value;
Analytics and Data Science
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
- April 29, 2020
- Article
The Case for AI Insurance
By: Ram Shankar Siva Kumar and Frank Nagle
When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are...
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Keywords:
Artificial Intelligence;
Machine Learning;
Internet and the Web;
Safety;
Insurance;
AI and Machine Learning;
Cybersecurity
Kumar, Ram Shankar Siva, and Frank Nagle. "The Case for AI Insurance." Harvard Business Review Digital Articles (April 29, 2020).
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes...
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Keywords:
Exploratory Learning Behaviors;
Modeling;
Artificial Intelligence;
AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- April 2020
- Teaching Note
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills...
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- April 2020 (Revised October 2020)
- Case
Unilever's Response to the Future of Work
By: William R. Kerr, Emilie Billaud and Mette Fuglsang Hjortshoej
In February 2020, Nick Dalton, executive vice president HR business transformation at Unilever, reflected on the changing nature of work marked by rapid advances in artificial intelligence, machine learning, and automation. Launched in 2016, Unilever’s Future of Work...
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Keywords:
Change Management;
Human Capital;
Organizational Change and Adaptation;
Mission and Purpose;
Organizational Structure;
Transformation;
Human Resources;
Consumer Products Industry;
Europe
Kerr, William R., Emilie Billaud, and Mette Fuglsang Hjortshoej. "Unilever's Response to the Future of Work." Harvard Business School Case 820-104, April 2020. (Revised October 2020.)
- April 2020
- Article
CEO Behavior and Firm Performance
By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level...
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Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging...
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Keywords:
Machine Learning;
Causal Inference;
Health Care and Treatment;
Safety;
Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and...
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Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about...
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Keywords:
Artificial Intelligence;
Design Thinking;
Technological Innovation;
Design;
Change;
Theory;
AI and Machine Learning
Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
- 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.
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the...
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Keywords:
Artificial Intelligence;
Algorithms;
Technological Innovation;
Business Model;
Competition;
Competitive Strategy;
AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime.
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Keywords:
Artificial Intelligence;
Dating Services;
Internet and the Web;
Ethics;
AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).