Publications

2022
Working Paper

The Evolution of ESG Reports and the Role of Voluntary Standards

By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon

We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a... View Details

Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting

SSRN

August 25, 2022
Article

Find the Right Pace for Your AI Rollout

By: Rebecca Karp and Aticus Peterson

Implementing AI can introduce disruptive change and disfranchise staff and employees. When members are reluctant to adopt a new technology, they might hesitate to use it, push back against its deployment, or use it in limited capacity — which affects the benefits an... View Details

Keywords: AI and Machine Learning; Technology Adoption; Change Management

Article

Fake AI People Won't Fix Online Dating

By: Scott Duke Kominers

Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details

Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning

2023
Article

On the Impact of Actionable Explanations on Social Segregation

By: Ruijiang Gao and Himabindu Lakkaraju

As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details

Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result

October 14, 2023
Article

Will Consumers Buy Selfish Self-Driving Cars?

By: Julian De Freitas

Keywords: AI and Machine Learning; Ethics; Technological Innovation; Safety; Auto Industry

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2023
Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman

Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic... View Details

Keywords: AI and Machine Learning; Employees; Performance Effectiveness

SSRN

June 20, 2023
Article

Cautious Adoption of AI Can Create Positive Company Culture

By: Joseph Pacelli and Jonas Heese

Keywords: AI and Machine Learning; Organizational Culture; Employees

August 2022 (Revised January 2023)
Case

Icario Health: AI to Drive Health Engagement

By: David C. Edelman

Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance. View Details

Keywords: Marketing; Health Care and Treatment; AI and Machine Learning; Health Industry; United States

05 Nov 2024
Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

It's an AI-age twist on the classic Turing Test, developed by British computer scientist Alan Turing in 1950 to judge whether machines could exhibit “intelligence.” Called the “Wade Test,” after the CEO of the company the researchers... View Details

Keywords: by Ben Rand; Information Technology; Technology

June 2024
Teaching Note

Numenta in 2020: The Future of AI

By: David B. Yoffie

In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a... View Details

Keywords: Artificial Intelligence; Monetization; Strategy; Intellectual Property; AI and Machine Learning; Business Model; Entrepreneurship; Technology Industry

July 2024
Case

Replika AI: Alleviating Loneliness (A)

By: Shikhar Ghosh and Shweta Bagai

Eugenia Kuyda launched Replika AI in 2017 as an empathetic digital companion to combat loneliness and provide emotional support. The platform surged in popularity during the COVID-19 pandemic, offering non-judgmental support to isolated users. By 2023, Replika boasted... View Details

Keywords: Entrepreneurship; Ethics; Health Pandemics; AI and Machine Learning; Well-being; Technology Industry

September 29, 2023
Article

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

By: Simon Friis and James Riley

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details

Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality

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January 2024
Case

The Financial Times (FT) and Generative AI

By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell

In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details

Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry

April 1, 2024
Other Article

Paying For AI In Healthcare: Setting The Right Precedent Amidst Growing Use

By: Mitchell Tang, Kaylee Wilson and Ateev Mehrotra

Keywords: Health Care and Treatment; AI and Machine Learning; Cost

Forthcoming
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

July 2024
Case

Compass Ethics: Governing Through Ethical Principles at WeCorp Industries

By: Elisabeth Kempf and Jesse M. Shapiro

Andrew Hill is Chief Information Officer at WeCorp, a UK-based defense technology startup specializing in drone technology. WeCorp faces decisions about international licensing and AI integration in its drones. In partnership with Compass Ethics, Hill aims to establish... View Details

Keywords: Business Startups; Decision Making; Ethics; Entrepreneurial Finance; AI and Machine Learning; Technology Industry; United Kingdom