Law And Artificial Intelligence - Publications - Faculty & Research - Harvard Business School

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2021
Article

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details

Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning

Research Summary

Overview

My work assists small business entrepreneurs, and high-growth technology firms that serve them, to grow with technology and AI in emerging economies. View Details

Keywords: Economic Development; Experimentation; Environment; Entrepreneurship; Artificial Intelligence

March–April 2021
Article

Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others.

By: Gerald C. Kane and Lynn Wu

Organizations have long sought to improve employee performance by managing knowledge more effectively. In this paper, we test whether the adoption of digital tools for expertise search and access within an organization, often referred to as a support to an... View Details

Keywords: Digital Tools; Social Media; Social Networks; Transactive Memory Systems; Augmented Intelligence; Artificial Intelligence; Social and Collaborative Networks; Gender; Equality and Inequality; Technology Adoption; Knowledge Management; Performance Improvement; Power and Influence; Organizational Change and Adaptation

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February 2024
Technical Note

AI Product Development Lifecycle

By: Michael Parzen, Jessie Li and Marily Nika

In this article, we will discuss the concept of AI Products, how they are changing our daily lives, how the field of AI & Product Management is evolving, and the AI Product Development Lifecycle. View Details

Keywords: Artificial Intelligence; Product Management; Product Life Cycle; Technology; AI and Machine Learning; Product Development

Research Summary

Overview

By: Himabindu Lakkaraju

I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details

Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support

2025
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

May 2022 (Revised July 2022)
Case

The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

By: David B. Yoffie and Daniel Fisher

In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details

Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States

2020
Article

A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?

By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam

Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role... View Details

Keywords: Sales Compensation; Sales Management; Sales Strategy; Principal-agent Theory; Structural Econometrics; Field Experiments; Machine Learning; Artificial Intelligence; Salesforce Management; Compensation and Benefits; Motivation and Incentives; AI and Machine Learning

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10 Jul 2023
News

Why Everyone Is Mad about New York’s AI Hiring Law

January 2017 (Revised March 2017)
Case

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen

To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details

Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning

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

February 2018
Case

Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home

By: Rajiv Lal and Scott Johnson

Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win? View Details

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. 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: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

March 2024 (Revised May 2025)
Case

Governing OpenAI (A)

By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz

In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details

2019
Working Paper

Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving

By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut

While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details

Keywords: Innovation; Expertise; Future Of Work; Crowdsourcing; Artificial Intelligence; Problem Solving; Professionalism; Experience and Expertise; Collaborative Innovation and Invention; Problems and Challenges; Research and Development

December 2018
Case

Choosy

By: Jeffrey J. Bussgang and Julia Kelley

Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages.... View Details

19 Sep 2023
HBS Case

How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can... View Details

Keywords: by Ben Rand; Technology; Information Technology

17 Jul 2018
First Look

New Research and Ideas, July 17, 2018

the partner type and private consumption. We estimate our model using the 2013 "Living Costs and Food Survey" database. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54695... View Details

Keywords: Dina Gerdeman

June 2017
Teaching Note

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen

Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty... View Details

Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning

January 2025
Case

AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

By: Lauren Cohen, Grace Headinger and Sophia Pan

Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details

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