Filter Results
:
(895)
Show Results For
-
All HBS Web
(10,600)
- Faculty Publications (895)
Show Results For
-
All HBS Web
(10,600)
- Faculty Publications (895)
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...
View Details
Keywords:
Artificial Intelligence;
Algorithmic Bias;
Technological Innovation;
Perception;
Diversity;
Equality and Inequality;
Trust;
AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific...
View Details
Keywords:
Deconvolution;
Methods;
Open Innovation Competition;
Genomics;
Research;
Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
- 2 Sep 2021
- Interview
Amy Edmondson
By: Amy C. Edmondson and Deepak Jayaraman
Amy C. Edmondson is the Novartis Professor of Leadership and Management at the Harvard Business School.
Amy has been recognized by the biannual Thinkers50 global ranking of management thinkers since 2011, and most recently was ranked #3 in 2019. She studies teaming,...
View Details
"Amy Edmondson." Episode 78. Play to Potential (podcast), September 2, 2021.
- September 2021
- Article
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and...
View Details
Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
- August 2021 (Revised April 2022)
- Case
Intenseye: Powering Workplace Health and Safety with AI
By: Michael W. Toffel and Youssef Abdel Aal
Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s...
View Details
Keywords:
Privacy;
Product Development;
Operations;
Technological Innovation;
Value Creation;
Production;
Distribution;
Safety;
Risk and Uncertainty;
Technology Industry;
Manufacturing Industry;
Distribution Industry;
Turkey;
Middle East;
United States
Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI." Harvard Business School Case 622-037, August 2021. (Revised April 2022.)
- August 2021
- Case
Andreessen Horowitz’s Cultural Leadership Fund (A)
By: Anita Elberse, Briana Richardson and Cydni Williams
In May 2020, Chris Lyons, a partner at leading venture capital firm Andreessen Horowitz receives the news that his company has reached a verbal agreement with one of Silicon Valley’s hottest social-media startups to lead its ‘Series A’ funding round, in a deal that...
View Details
Keywords:
Entertainment;
Talent Management;
General Management;
Inclusion;
Talent and Talent Management;
Diversity;
Venture Capital;
Entrepreneurship;
Networks;
Nonprofit Organizations
Elberse, Anita, Briana Richardson, and Cydni Williams. "Andreessen Horowitz’s Cultural Leadership Fund (A)." Harvard Business School Case 522-020, August 2021.
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...
View Details
Keywords:
Mixed Methods;
Insider-outsiders;
Myth Of Informed Objectivity;
Hybrid Research;
Oral Narratives;
Research;
Analysis;
India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- Article
The Harmonization of Lending Standards within Banks through Mandated Loan-Level Transparency
By: Jung Koo Kang, Maria Loumioti and Regina Wittenberg-Moerman
We explore whether the introduction of transparent reporting rules increases credit standard harmonization within a bank. We exploit the new loan-level reporting rules imposed on banks that borrow from the European Central Bank using repurchase agreements...
View Details
Keywords:
Transparency;
External And Internal Reporting;
Credit Term Harmonization;
Regulatory Scrutiny;
Banks and Banking;
Credit;
Financial Reporting;
Governing Rules, Regulations, and Reforms;
Learning
Kang, Jung Koo, Maria Loumioti, and Regina Wittenberg-Moerman. "The Harmonization of Lending Standards within Banks through Mandated Loan-Level Transparency." Journal of Accounting & Economics 72, no. 1 (August 2021): 101386.
- 9 Jul 2021
- Interview
Matthew Barzun and Amy Edmondson
By: Amy C. Edmondson and Matthew Barzun
Writer Matthew Barzun speaks with Harvard Professor and author Amy Edmondson about Barzun's book, "The Power of Giving Away Power: How the Best Leaders Learn to Let Go". Matthew Barzun has served as U.S. ambassador to the United Kingdom and Sweden. He served as...
View Details
"Matthew Barzun and Amy Edmondson." Great Podversations (podcast), July 9, 2021.
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely...
View Details
Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual...
View Details
Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
View Details
Keywords:
Machine Learning;
Black Box Explanations;
Decision Making;
Forecasting and Prediction;
Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- June 18, 2021
- Article
Research: What Inclusive Companies Have in Common
By: J. Yo-Jud Cheng and Boris Groysberg
A survey of more than 19,000 HBR readers found that one particular culture style differentiated the diverse and inclusive organizations from those that were not: a learning-oriented culture that emphasizes flexibility, open-mindedness, and exploration, and can equip...
View Details
Keywords:
Inclusion;
Diversity;
Organizational Culture;
Learning;
Organizational Change and Adaptation;
Leading Change
Cheng, J. Yo-Jud, and Boris Groysberg. "Research: What Inclusive Companies Have in Common." Harvard Business Review Digital Articles (June 18, 2021).
- 16 Jun 2021
- Interview
Harvard Business School: How to Build Fearless Organizations
By: Amy C. Edmondson and Ron Lovett
Our guest is Amy Edmondson - Professor of Leadership and Management at Harvard Business School. Amy has authored multiple books, including her most recent, The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation and...
View Details
"Harvard Business School: How to Build Fearless Organizations." No. 51. Scaling Culture (podcast), June 16, 2021.
- 2021
- Working Paper
Who Closed the Schools?
By: Joshua D. Coval
This paper examines the differences in characteristics between U.S. public schools that opted for virtual instruction because of COVID-19, and schools that did not. Much of the variation can be explained by measures of the degree to which districts favored teachers...
View Details
Keywords:
Public Education;
COVID-19;
Virtual Learning;
Education;
Health Pandemics;
Teaching;
Internet and the Web;
Policy;
Outcome or Result;
United States
Coval, Joshua D. "Who Closed the Schools?" Harvard Business School Working Paper, No. 21-127, June 2021.
- June 2021
- Case
Mobileye 2021: Robotaxi and/or Consumer AV?
By: David B. Yoffie, Danielle Golan and Nicole Tempest Keller
In March 2021, Amnon Shashua, co-founder and CEO of Israel-based Mobileye, was preparing to meet with Intel’s new CEO, Pat Gelsinger, to review plans for the future. Mobileye had been acquired by California-based Intel in 2017, but still operated independently....
View Details
Keywords:
Technology Companies;
Robotics;
Autonomous Vehicles;
Strategy;
Decision Making;
Transportation;
Technological Innovation;
Technology Industry;
Auto Industry;
Transportation Industry;
Israel
Yoffie, David B., Danielle Golan, and Nicole Tempest Keller. "Mobileye 2021: Robotaxi and/or Consumer AV?" Harvard Business School Case 721-481, June 2021.
- Article
Is ‘Not Guilty’ the Same as ‘Innocent’? Evidence from SEC Financial Fraud Investigations
By: Eugene F. Soltes and David H. Solomon
When the Securities and Exchange Commission (SEC) investigates firms for financial fraud, investors learn about the investigation only if managers disclose it, or regulators sanction the firm. We investigate the effects of such disclosures using confidential records on...
View Details
Soltes, Eugene F., and David H. Solomon. "Is ‘Not Guilty’ the Same as ‘Innocent’? Evidence from SEC Financial Fraud Investigations." Journal of Empirical Legal Studies 18, no. 2 (June 2021): 287–327.
- 2021
- Working Paper
Regulatory Approval and Expanded Market Size
By: Benjamin Berger, Amitabh Chandra and Craig Garthwaite
Regulatory review of new medicines is often viewed as a hindrance to innovation by increasing the hurdle to bring products to market. However, a more complete accounting of regulation must also account for its potential market expanding effects through quality...
View Details
Keywords:
New Medicines;
Regulatory Approval;
Health Care and Treatment;
Research and Development;
Governing Rules, Regulations, and Reforms;
Markets;
Expansion;
Pharmaceutical Industry
Berger, Benjamin, Amitabh Chandra, and Craig Garthwaite. "Regulatory Approval and Expanded Market Size." NBER Working Paper Series, No. 28889, June 2021.
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
View Details
Keywords:
Personalized Law;
Regulation;
Regulatory Avoidance;
Regulatory Arbitrage;
Law And Economics;
Law And Technology;
Law And Artificial Intelligence;
Futurism;
Moral Hazard;
Elicitation;
Signaling;
Privacy;
Law;
Governing Rules, Regulations, and Reforms;
Information Technology;
AI and Machine Learning
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort...
View Details