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  • 01 Dec 2023
  • News

Thinking Ahead

As we wind down 2023, there’s talk everywhere of generative AI and how it will fundamentally alter the world as we know it; but how does that translate for your corner of the business world? Is TikTok something you need to take seriously? (Is it time to dance?) We... View Details
Keywords: Julia Hanna; Illustrations by Chris Gash; News, Library, Internet, and Other Services; Information
  • 30 May 2023
  • Research & Ideas

Can AI Predict Whether Shoppers Would Pick Crest or 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,... View Details
Keywords: by Kristen Senz
  • Web

Human Behavior & Decision-Making - Faculty & Research

innovations and demonstrate market differentiation. The paper highlights the dynamics of process manipulation and its impact on AI innovation development and use. Keywords: Decision Choices and Conditions ; Technology Adoption ; Groups and Teams ; Prejudice and View Details
  • 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... View Details
Keywords: by Roberta Holland; Air Transportation; Transportation
  • 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... View Details
Keywords: by James Heskett
  • 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... View Details
Keywords: by Michael Blanding; Manufacturing
  • 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... View Details
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Optimum Renewable Generation and Energy Storage Investments” with Simone Marinesi, and Serguei Netessine. Himabindu Lakkaraju : Honorable Mention for the Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)... View Details
  • 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... View Details
Keywords: April White
  • May 2022 (Revised June 2024)
  • 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... View Details
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
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  • 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
Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias
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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... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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  • 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.... View Details
Keywords: Julia Hanna; Space Research and Technology; Government
  • 27 Jun 2024
  • Research & Ideas

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

their products listed on top, is that a good thing or a bad thing? It just depends on which side you’re looking from,” says Lakkaraju. The coffee machine experiment The study involves a hypothetical search for an “affordable” new coffee... View Details
Keywords: by Ben Rand; Technology
  • January 2025
  • Article

Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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  • Web

BiGS Fellows | Institute for Business in Global Society

collects data about the outcome of an algorithm within a particular context, and then assesses its impact on its users. The platform studies facial and emotion recognition and can help uncover the racial bias in algorithms used by social... View Details
  • 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... View Details
Keywords: by James Heskett
  • 15 Nov 2024
  • News

Driving Change

how the use of AI will disrupt labor markets or that it may make humans lazier, Feinzaig said she believes it will make us more human. “Since the Industrial Revolution, the focus has been on turning humans into machines to create... View Details
  • Web

Launching Tech Ventures - Course Catalog

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 has a tactical, implementation bias rather than a... View Details
  • 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.... View Details