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Show Results For
- All HBS Web
(702)
- News (144)
- Research (431)
- Events (20)
- Multimedia (12)
- Faculty Publications (315)
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- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive systems, you need lots of example data input and output pairs. The... View Details
- 18 Jan 2022
- Research & Ideas
How Eliminating Non-Competes Could Reshape Tech
Second, advanced software algorithms and data-based artificial intelligence algorithms account for increasing amounts of trade secrets in technology. These technologies rely on massive stores of distributed... View Details
- 30 Nov 2010
- Working Paper Summaries
Sponsored Links’ or ’Advertisements’?: Measuring Labeling Alternatives in Internet Search Engines
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 28 Nov 2018
- HBS Case
On Target: Rethinking the Retail Website
mistake of treating their online unit as a mere add-on to the store. Target, by contrast, spent much time focusing on how data could be used specifically to help build its web arm. And the retailer was careful to establish the value of data, analytics, and View Details
- 07 Feb 2022
- Research & Ideas
Digital Transformation: A New Roadmap for Success
algorithms can lead to unintended bias that harms certain employees and customers, and the company’s reputation (a bias story can go viral on social media within minutes). 5. Design for inclusive and agile problem-solving As they become... View Details
- 10 Feb 2020
- In Practice
6 Ways That Emerging Technology Is Disrupting Business Strategy
Economic Research. 3. Algorithms are changing the pricing game “Firms are increasingly using pricing algorithms to set prices, especially in online markets. Pricing View Details
Keywords: by Danielle Kost
- 21 Jul 2021
- Research & Ideas
What Does an ESG Score Really Say About a Company?
Receiving more information can clarify the complex, but not when it comes to environmental, social, and governance (ESG) scores. A recent study shows that the more information a company discloses about its ESG practices, the more rating agencies disagree on how well... View Details
Keywords: by Kristen Senz
- 29 Apr 2013
- Working Paper Summaries
Exclusive Preferential Placement as Search Diversion: Evidence from Flight Search
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details
Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel
Moreno, Antonio, and Danielle Golan. "Anodot: Autonomous Business Monitoring." Harvard Business School Case 621-084, January 2021.
- July 2013 (Revised August 2017)
- Case
TaKaDu
By: Elie Ofek and Matthew Preble
In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
- 19 Jan 2023
- Research & Ideas
What Makes Employees Trust (vs. Second-Guess) AI?
When an algorithm recommends ways to improve business outcomes, do employees trust it? Conventional wisdom suggests that understanding the inner workings of artificial intelligence (AI) can raise confidence in such programs. Yet, new... View Details
Keywords: by Rachel Layne
- 20 Aug 2013
- First Look
First Look: August 20
Lakhani, and Michael E. Menietti Abstract—Tournaments are widely used in the economy to organize production and innovation. We study individual contestant-level data from 2,796 contestants in 774 software algorithm design contests with... View Details
Keywords: Anna Secino
- 23 Jul 2013
- First Look
First Look: July 23
restaurant reviews with Yelp's algorithmic indicator of fake reviews. Using this imperfect indicator as a proxy, we develop an empirical methodology to identify the points in the life cycle of a business during which review fraud is most... View Details
Keywords: Anna Secino
- September 2011 (Revised July 2012)
- Case
Building Watson: Not So Elementary, My Dear!
By: Willy Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Technological Innovation; Standards; Product Development; Organizational Change and Adaptation; Mathematical Methods; Research and Development; Information Technology
Shih, Willy. "Building Watson: Not So Elementary, My Dear!" Harvard Business School Case 612-017, September 2011. (Revised July 2012.)
- Article
Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials
By: Caroline Marra, William J. Gordon and Ariel Dora Stern
Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of... View Details
Keywords: Connected Digital Products; Telehealth; Remote Monitoring; Health Testing and Trials; Research; Governing Rules, Regulations, and Reforms; Information Technology
Marra, Caroline, William J. Gordon, and Ariel Dora Stern. "Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials." BMJ Open 11, no. 6 (2021).
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
we had no real idea what would prevail. So, this is where the scientific mystery lies,” he says. Applying dating algorithms to other industries, cautiously Platonic platforms could follow similar, industry-appropriate revelation models.... View Details
Keywords: by Kara Baskin
- 06 Jul 2020
- Research & Ideas
The Right Way to Manage Customer Churn for Maximum Profit
responsiveness seems to have an even bigger impact on profitability,” Gupta says. Don’t change customers, change algorithms Applying both factors to data from a European television service company, for example, the researchers were able... View Details
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
more akin to an Apple, a Tesla, or a Nest, or a GoPro—where it’s a consumer product that has the foundation of sexy hardware technology and sexy software technology,” he is quoted in a book published today, Competing in the Age of AI: Strategy and Leadership When View Details
Keywords: by Dina Gerdeman