AI@CBS

Leading through intelligence—both human and artificial—at Columbia Business School.

Committed to the Future of Artificial Intelligence

Through cutting-edge curricular innovation, our MBA, Executive MBA, MS, and PhD programs introduce new courses and research that seamlessly integrate AI into the student experience. From exploring the impact of AI across industries to developing hands-on experience with the latest tools, students can build confidence in using the latest tech in their chosen fields.

AI plays a critical role in the rapidly evolving modern workplace, and with a curriculum that emphasizes its societal and business implications, students can fully prepare to lead in this rapidly evolving landscape. Explore how our students, faculty, centers and programs are engaging with AI at Columbia Business School.

AI Compilation Series

Can We Build Trust In AI?

As artificial intelligence becomes more integrated into daily life, building trust in AI is more important than ever. This compilation explores the ethical, transparent, and responsible development of AI—from addressing algorithmic bias and data privacy to ensuring meaningful human oversight and regulatory accountability.

How Will AI Change the Way We Work?

AI is rapidly transforming how we work, from automating routine tasks to enhancing decision-making capabilities. This compilation explores the practical implications of workplace AI adoption, addressing concerns about job displacement while highlighting opportunities for increased productivity and new career paths.

How Will AI Innovate Businesses?

AI is transforming businesses across every industry, unlocking new strategies, use cases, and competitive advantages. This compilation explores real-world applications of AI in business and offers insights on how leaders can prepare for an AI-powered future.

Will Technology Solve Climate Change?

Explore how AI and technology are contributing to climate change solutions. Learn about innovative applications, challenges, and the future of tech-driven environmental strategies in this compilation.

Faculty Perspectives on AI

Using AI to Enhance Human Motivation

Columbia Business School Professor Stephan Meier explains how leaders can calm AI-related concerns, while also creating value.

Quick Takes

AI can boost productivity and work-life balance through efficiency, but presents an equality paradox - potentially leveling the playing field or concentrating benefits among few while reducing overall jobs.
Future leaders (today's students) will determine AI's ultimate societal impact, making their understanding of these technologies crucial.

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How to Leverage AI in the Workplace

Columbia Business School Professor Olivier Toubia shares the many upsides – and downsides – of AI in the workplace.

Quick Takes

Generative AI has dual potential - it can increase productivity and improve work-life balance while leveling the playing field, but could also increase inequality by limiting jobs to a select few and reducing overall opportunities.
The ultimate impact of AI on society and business will be determined by future leaders, making it critical for today's students to understand AI as they will shape its societal effects.

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Using Generative AI to Change Your Mindset

Ashli Carter, a lecturer at Columbia Business School, explains one of the ways she uses AI to help students build resilience.

Quick Takes

AI text-to-image generation helps people visualize their "inner critic" as a tool for negotiating with their mindset.
AI visualization processes can create mental states more conducive to achieving personal goals.

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How AI is Breaking Barriers in Business

Columbia Business School Professor Omar Besbes explains how AI is democratizing workplace productivity.

Quick Takes

AI will significantly enhance human productivity across various areas while potentially decreasing barriers to entry in multiple industries.
Chatbots and AI systems are democratizing access to resources while simultaneously putting the art of asking good questions and follow-up questions back at center stage.

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AI@CBS In The Classroom

AI Tools

AI is integrated into our courses in ways that support student’s projects and inspire rich class discussions. Tools like ChatGPT are used to assist in breaking down complex research techniques, run business simulations, visualize data in real time, and to show students to think in new ways and explore innovative solutions.

View Available AI Tools at CBS

Courses

At Columbia Business School, we introduce you to the methods and tools that organizations around the world use to leverage data and artificial intelligence. You will learn how these techniques work, and how to use them. The curriculum spans everything from basic data analysis to generative AI, and contains classes suitable for all skill levels.

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Resources

Generative artificial intelligence (AI) is reshaping industries worldwide, and higher education is no exception. Much like other transformative innovations before it, AI-powered language models have introduced new opportunities and challenges, changing the way students learn and how instructors teach.

Samberg Institute

At Columbia Business School, the Arthur J. Samberg Institute for Teaching Excellence serves as a guiding force in this ongoing transformation, equipping faculty with the knowledge, tools, and strategies they need to leverage generative AI for effective teaching.

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Digital Future Initiative

The Digital Future Initiative focuses Columbia Business School’s world-class research and teaching on how technology is altering all industries and the fabric of daily life.

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Career Strategy

AI is changing the way we work, and the Career Management Center (Careers) at Columbia Business School has organized numerous AI-focused events and introduced AI-powered tools to help students and alumni adapt to these changes and achieve their long-term professional goals.

View AI@CBS Careers

Upcoming AI Events

Faculty and AI Research

AI@CBS Faculty

Dan Wang

Lambert Family Professor of Social Enterprise in the Faculty of Business: Management Division

Co-Director of the Tamer Institute for Social Enterprise and Climate Change: Tamer Institute for Social Enterprise and Climate Change

Gita Johar

Meyer Feldberg Professor of Business: Marketing Division

Daniel Guetta

Associate Professor of Professional Practice: Decision, Risk, and Operations Division

Director: Center for Pricing and Revenue Management and Business Analytics Initiative

Carri Chan

John A. Howard Professor of Business: Decision, Risk, and Operations Division

Faculty Director Healthcare and Pharmaceutical Management Program: Healthcare and Pharmaceutical Management Program

Oded Netzer

Arthur J. Samberg Professor of Business: Marketing Division

Vice Dean for Research: Dean's Office

Ashli Carter

Lecturer in the Discipline of Management in the Faculty of Business: Management Division

Omar Besbes

Vikram S. Pandit Professor of Business: Decision, Risk, and Operations Division

Latest AI Research

What a long strange trip it’s been...on ALIS

Authors: Michael Weinberg

Date: January 21, 2018

Format: Newspaper/Magazine Article

Publication: AIMA Journal

We have titled this paper with an ode to a compilation album by a band that was founded in Palo Alto and developed a counter-culture. Though the title espouses a new state of mind, it is investment, not consumption driven, as this is 2017 and not 1965.

Authors: Andrey Simonov, Chris Nosko, and Justin Rao

Date: January 1, 2018

Format: Journal Article

Journal: Marketing Science

On search keywords with trademarked terms, the brand owner ("focal brand") and other relevant firms compete for consumers. For the focal brand, paid clicks have a direct substitute in the organic links below the paid ad(s). The proximity of this substitute depends on whether competing firms are bidding aggressively to siphon off traffic. We study the returns to focal brands and competitors using large-scale experiments on Bing with data from thousands of brands.

Authors: Oriana Bandiera, Andrea Prat, and Raffaella Sadun

Date: Forthcoming

Format: Newspaper/Magazine Article

Publication: Review of Financial Studies

We present evidence on the labor supply of CEOs, and on whether family and professional CEOs differ on this dimension. We do so through a new survey instrument that allows us to codify CEOs' diaries in a detailed and comparable fashion, and to build a bottom-up measure of CEO labor supply. The comparison of 1,114 family and professional CEOs reveals that family CEOs work 9% fewer hours relative to professional CEOs.

Authors: Olivier Toubia and Oded Netzer

Date: January 1, 2017

Format: Journal Article

Journal: Marketing Science

In this paper we show how simple text mining and semantic network analysis may be used to (i) improve our theoretical understanding of idea generation, (ii) help people improve the creativity of their ideas. From a theoretical perspective, we contribute to the cognitive idea generation literature by establishing a link between the set of concepts used to form an idea and the creativity of the idea. Each idea contains a subset of the semantic network of concepts related to the topic.

Authors: Oded Netzer, Peter Ebbes, and Tammo Bijmolt

Date: Forthcoming

Format: Chapter

Book: Advance Techniques and Methods to Model Markets

Authors: Martin Reimann and Kristen Lane

Date: January 1, 2017

Format: Journal Article

Journal: PLOS ONE

Authors: Wendy Moe, Oded Netzer, and David Schweidel

Date: January 1, 2016

Format: Chapter

Book: Handbook of Marketing Decision Models

Authors: Ronen Feldman, Oded Netzer, Aviv Peretz, and Binyamin Rosenfeld

Date: October 1, 2015

Format: Journal Article

Journal: Proceedings of the 21st ACM SIGKDD International Conference of Knowledge Discovery and Data Mining

We present an end-to-end text mining methodology for relation extraction of adverse drug reactions (ADRs) from medical forums on the Web. Our methodology is novel in that it combines three major characteristics: (i) an underlying concept of using a head-driven phrase structure grammar (HPSG) based parser; (ii) domain-specific relation patterns, the acquisition of which is done primarily using unsupervised methods applied to a large, unlabeled text corpus; and (iii) automated post-processing algorithms for enhancing the set of extracted relations.

AI Faculty In the News

The New York Times

August 7, 2023

A Zoom Call, Fake Names and an A.I. Presentation Gone Awry

AI has become a highly competitive industry. As Olivier Toubia, Glaubinger Professor of Business, said in an interview with The New York Times, it’s similar to “the late-1990s dot-com boom.” Like in the 1990s, companies are eager to lure in top talent from competitors and be the first to introduce new features and tools. One story detailed how a competing company signed up for a trial of an AI product, even going as far as to fabricate an identity and invite their boss to the meeting. “We know people would do crazy things to get ahead,” said Toubia.With venture capitalists in heavy competition to invest in the leading AI start-ups, the industry is thriving and primed for innovation. Read more about the climate of the AI industry and how companies are eager to get ahead of the game. 

Mentioned Faculty

Olivier Toubia

Glaubinger Professor of Business: Marketing Division

Business Insider

July 27, 2023

10 Ways Artificial Intelligence Is Changing the Workplace, from Writing Performance Reviews to Making the 4-day Workweek Possible

Are you ready for the rise of AI in your industry? Columbia Business School Professor Oded Netzer shares his thoughts on AI’s impact on the workplace in a Business Insider feature.Netzer discusses how AI tools like ChatGPT are changing the way we work, handling everything from coding and drafting emails to creating legal documents. While some are concerned that AI will replace jobs, Netzer argues that AI is more a tool to enhance work rather than fully replace roles, and its ability to automate mundane tasks allows workers to focus on more complex and creative responsibilities.Netzer advises that companies and employees rethink job roles by breaking them into tasks and determining which can be improved by AI and which still require human input. As businesses continue to adapt, understanding how to take advantage of AI’s strengths without losing the human element will be key in staying competitive.Read the full article for more.

Mentioned Faculty

Oded Netzer

Arthur J. Samberg Professor of Business: Marketing Division

Vice Dean for Research: Dean's Office

Insider

July 25, 2023

ChatGPT Creator Says AI Advocates Are Fooling Themselves if They Think the Technology Is Only Going to Be Good for Workers: 'Jobs Are Definitely Going to Go Away'

Highlighted by Columbia Business School, this media piece showcases Topics and Areas of Expertise about our esteemed faculty. The content is specifically curated from the publication that showcased the mentioned faculty and/or research, emphasizing its contributions in various fields. The featured Topics and Areas of Expertise reflects the school's commitment to sharing valuable insights and knowledge.

Mentioned Faculty

Oded Netzer

Arthur J. Samberg Professor of Business: Marketing Division

Vice Dean for Research: Dean's Office

Marketplace Radio

July 25, 2023

How Will AI Companies Make Money?

According to a Summer 2023 Marketplace article, generating revenue from AI presents several challenges. Olivier Toubia, Glaubinger Professor of Business, is one of the many experts who are challenging AI businesses to be more innovative. He warns that consumers are tired of accumulating subscriptions and, in turn, will expect more from their AI tools. “Companies that offer a one-stop AI shop — text, audio, photo, and videos,” he says, “will have the advantage.”Toubia researches elements of innovation, such as preference measurement and idea generation. He has shared his views on AI in previous articles for Quartz, Quirks, and more. Read or listen to how companies are determining the price of artificial intelligence for consumers and why some experts believe that selling to enterprises is the better opportunity.

Mentioned Faculty

Olivier Toubia

Glaubinger Professor of Business: Marketing Division

AI@CBS

Committed to the Future of Artificial Intelligence