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(1,598)
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- Multimedia (78)
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Show Results For
- All HBS Web
(1,598)
- News (523)
- Research (575)
- Events (29)
- Multimedia (78)
- Faculty Publications (550)
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- Forthcoming
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review (forthcoming). (Pre-published online April 22, 2025.)
- 2019
- 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
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
- 2017
- Working Paper
Cellophane, the New Visuality, and the Creation of Self-Service Food Retailing
By: Ai Hisano
This working paper examines how innovations in transparent packaging, specifically cellophane in the mid-twentieth century United States, helped retailers create full self-service merchandising systems, including selling perishable food. While self-service stores began... View Details
Hisano, Ai. "Cellophane, the New Visuality, and the Creation of Self-Service Food Retailing." Harvard Business School Working Paper, No. 17-106, May 2017.
- Article
The Rise of Synthetic Colors in the American Food Industry, 1870–1940
By: Ai Hisano
This article examines how, starting in the 1870s, food manufacturers in the United States began to use standardized color, achieved by synthetic dyes, as part of their marketing strategies. The emergence of the synthetic dye industry paralleled the growth of mass... View Details
Keywords: Safety; Food; Health; Brands and Branding; Manufacturing Industry; Food and Beverage Industry; United States
Hisano, Ai. "The Rise of Synthetic Colors in the American Food Industry, 1870–1940." Special Issue on Food and Agriculture. Business History Review 90, no. 3 (October 2016): 483–504.
- 2015
- Talk
Creating 'Natural Yellow' for Butter and Oleomargarine
By: Ai Hisano
Hisano, Ai. "Creating 'Natural Yellow' for Butter and Oleomargarine." National Museum of American History Colloquium, 2015.
- 4 Oct 2012 - 6 Oct 2012
- Conference Presentation
Geography of Taste: The Construction of American Wine Culture, 1967-1976
By: Ai Hisano
Hisano, Ai. "Geography of Taste: The Construction of American Wine Culture, 1967-1976." Paper presented at the Foodways: Diasporic Diners, Transnational Tables and Culinary Connections, Center for Diaspora and Transnational Studies, University of Toronto, Toronto, ON, Canada, October 4–6, 2012.
- 16 Jun 2011 - 18 Jun 2011
- Conference Presentation
The Romanticization of Home-cooking: Betty Crocker and Ideal Womanhood in the Early Twentieth-century United States
By: Ai Hisano
Hisano, Ai. "The Romanticization of Home-cooking: Betty Crocker and Ideal Womanhood in the Early Twentieth-century United States." Paper presented at the Food and Drink: Their Social, Political, Cultural Histories, University of Central Lancashire, Lancashire, UK, June 16–18, 2011.
- 2015
- Chapter
Food Additives
By: Ai Hisano
Hisano, Ai. "Food Additives." In The SAGE Encyclopedia of Food Issues, edited by Ken Albala, 526–531. Thousand Oaks, CA: Sage Publications, 2015.
- Summer 2013
- Book Review
Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein
By: Ai Hisano
Hisano, Ai. Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein. Business History Review 87, no. 2 (Summer 2013): 381–384.
- Article
Betty Crocker no hyōshō to amerika shakai no hensen [The Portraits of Betty Crocker and the Transformation of American Society]
By: Ai Hisano
Hisano, Ai. "Betty Crocker no hyōshō to amerika shakai no hensen [The Portraits of Betty Crocker and the Transformation of American Society]." Amerika Taiheiyō kenkyū [Pacific and American Studies] 9 (March 2009): 128–141.
- Article
Home Cooking: Betty Crocker and Womanhood in Early Twentieth-Century America
By: Ai Hisano
Hisano, Ai. "Home Cooking: Betty Crocker and Womanhood in Early Twentieth-Century America." Special Issue on Food. Japanese Journal of American Studies, no. 21 (2010): 211–230.
- 03 Jan 2017
- First Look
January 3, 2017
broadly available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52046 October 2016 Business History Review The Rise of Synthetic Colors in the American Food Industry, 1870–1940 By: Hisano, Ai Abstract—This article... View Details
Keywords: Carmen Nobel
- 02 Jan 2019
- What Do You Think?
SUMMING UP: Do We Need an Artificial Intelligence Czar?
iStock How Should We Organize AI Oversight? There is little question about the growing importance of artificial intelligence (AI) and the need for some kind of oversight. But the debate seems to center around whether, and to what extent,... View Details
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
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: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (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... View Details
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).
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.