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- All HBS Web (67)
- Faculty Publications (28)
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Technology & Innovation - Faculty & Research
and unfunded firms. Because randomization of the sample was not feasible, we address endogeneity around selection bias using a sample of qualitatively similar firms based on a funding decision score. This allows us to observe the local...
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- Web
From Spanglish to quinceañera dresses: Making the Case for Hispanic Representation in AI Development - Blog - Business in Global Society
becoming more common in everyday life as machine learning and “generative-pretrained transformer” systems such as OpenAI’s ChatGPT, Anthropic’s Claude, Microsoft’s Bing and Google’s Bard gain wider acceptance. Much has been written about...
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- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
for prediction and for forecasting something that is unknown.” The rise of big data and machine learning offers infinitely more fuel to churn out probability forecasts, which can serve as an entry point for businesses looking to harness...
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- 07 Aug 2013
- What Do You Think?
Is There Still a Role for Judgment in Decision-Making?
'gut check' on big decisions is always prudent. I realize that is the sort of bias these authors warn about, but the application of their methods shouldn't reduce decision-making to a formula " Phil Clark had a more encompassing view...
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by James Heskett
- Blog
Is AI Coming for Your Job?
be displaced in large numbers. Those job losses will be partially offset by job gains for machine learning specialists and emerging jobs like prompt engineers. But, once companies learn how to exploit generative AI, we can anticipate...
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- 26 Mar 2018
- Research & Ideas
To Motivate Employees, Give an Unexpected Bonus (or Penalty)
employees make or how many units they produce. “The objective performance measures don’t take into consideration whether the machine broke down or whether someone is still learning the job,” Gallani explains. To compensate, managers often...
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- 02 Mar 2016
- News
David Moss is Rewriting History
between the board’s conservative Republicans, who perceived a liberal bias in the curriculum, and its more moderate Republicans and Democrats. For three days, the board held contentious open meetings, arguing issues centuries old—Were the...
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April White
- Web
Technology & Operations Management Awards & Honors - Faculty & Research
Responsible Machine Learning (TSRML) Outstanding Paper Award at the 2022 Conference on Neural Information Processing Systems (NeurIPS). Himabindu Lakkaraju: Winner of the 2022 Best Paper Award from the Workshop on Interpretable View Details
- May 2022 (Revised April 2023)
- Case
LOOP: Driving Change in Auto Insurance Pricing
By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing...
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Keywords:
AI and Machine Learning;
Technological Innovation;
Equality and Inequality;
Prejudice and Bias;
Growth and Development Strategy;
Customer Relationship Management;
Price;
Insurance Industry;
Financial Services Industry
Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised April 2023.)
- 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...
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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.
- 01 Mar 2005
- News
Facing Ambiguity
information,” notes Roberto. “This wasn’t just people shuffling paper in Houston. They were monitoring astronauts in space, and the foam strike was one small issue in a complex set of events.” “It’s real information and real people in real time,” Edmondson adds....
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- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...
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Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 10 Mar 2011
- What Do You Think?
To What Degree Does the Job Make the Person?
new job. In other words, is there a self-selection bias in studies of the effects of job on a person's chemical makeup? As Stephanie Smith put it, "Perhaps it's a case of either the hormones and natural adaptability of the person...
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by James Heskett
- Web
Launching Tech Ventures - Course Catalog
perspective of founders struggling to achieve product market fit in their early-stage startups. Our cases focus on founder decisions during this search and discovery phase, both in the experiments that they design and run as well as the organizations they build. LTV...
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- Web
Design: At, Into, & Beyond - Race, Gender & Equity
adjustment to a job or work environment that makes it possible for an individual with a disability to perform their job duties. Accommodations may include specialized equipment, modifications to the work environment or adjustments to work schedules or responsibilities....
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- Web
Podcast - Managing the Future of Work
of employment. That raises the question of whether AI eliminates or amplifies the problems like bias and wage discrimination that have plagued the system in the past. Employers and regulators are just beginning to grapple with how to...
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- 30 May 2023
- Research & Ideas
Can AI Predict Whether Shoppers Would Pick Crest Over Colgate?
came from a sample of customers.” While the recent emergence of ChatGPT has reignited fears that machines may replace humans in the workplace, the results of this study don’t necessarily mean that AI is going to gut marketing departments,...
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- 01 Mar 2011
- News
The Rankings Game
surveys used by Bloomberg Businessweek and U.S. News are subject to bias by relying so heavily on judgments from recent graduates, deans, and administrators. Students understand the value of graduating from a top-ranked institution and...
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- 26 Jan 2016
- First Look
January 26, 2016
disclosure. Publisher's link: https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=50424 forthcoming American Economic Review: Papers and Proceedings Productivity and Selection of Human Capital with Machine Learning By: Chalfin, Aaron, Oren...
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Sean Silverthorne
- Web
Podcast - Managing the Future of Work
years, and how we, as an industry, as educators, can catalyze that together?Pulsipher: One of the things I think is most promising today is how artificial intelligence—and true large-data problems powered by machine learning that really...
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