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Show Results For
- All HBS Web
(511)
- News (145)
- Research (221)
- Events (7)
- Multimedia (6)
- Faculty Publications (179)
- 01 Jun 2024
- News
Competing in the Age of AI
Above: Karim Lakhani discussed GenAI with alumni during his presentation at When Professor Karim Lakhani leads discussions about generative artificial intelligence (GenAI), he often begins by asking audience members to stand if they’ve... View Details
Keywords: April White
- 2024
- Working Paper
Climate Solutions, Transition Risk, and Stock Returns
By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
- 22 Nov 2023
- Research & Ideas
Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle
with a new product. Consultants had to generate 10 ideas, describe a prototype, and consider at least four concepts—and why the final concept was chosen. They were also asked to write a 2,500-word Harvard Business Review-type essay to... View Details
- November–December 2022
- Article
Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products... View Details
Dickie, Jim, Boris Groysberg, Benson P. Shapiro, and Barry Trailer. "Can AI Really Help You Sell? It Can, Depending on When and How You Implement It." Harvard Business Review 100, no. 6 (November–December 2022): 120–129.
- Web
Online AI Course | HBS Online
skills and frameworks to shape your organization’s digital transformation strategy Rethink your system, processes, and roles to build an AI-powered organization Learn how generative AI connects to your... View Details
- 04 Jun 2024
- Research & Ideas
Navigating Consumer Data Privacy in an AI World
Opportunity: Customers’ Routines When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions How Humans Outshine AI in Adapting to Change Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu.... View Details
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
challenges that these digital businesses have to deal with to provide an effective, unbiased service that protects the rights of consumers. And we can learn a lot from this new generation of digital firms as we watch them try to navigate... View Details
Keywords: by Dina Gerdeman
- May 2024
- Article
The Health Risks of Generative AI-Based Wellness Apps
By: Julian De Freitas and G. Cohen
Artifcial intelligence (AI)-enabled chatbots are increasingly being used to
help people manage their mental health. Chatbots for mental health and
particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’.
Indeed, most generative AI-powered... View Details
Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software
De Freitas, Julian, and G. Cohen. "The Health Risks of Generative AI-Based Wellness Apps." Nature Medicine 30, no. 5 (May 2024): 1269–1275.
- 8:30 AM – 6:45 PM EDT, 15 Sep 2020
- Virtual Programming
Competing in the Age of AI and Digital Transformation
How are companies today using artificial intelligence (AI) to respond to business challenges? During this session, professors Karim Lakhani and Macro Iansiti, coauthors of the book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the... View Details
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
enterprise era. Here are 10 rules of thumb to consider as you develop an AI strategy in an established company or sinking roots as an AI-first venture. Some are unique to AI-first startups, while others are View Details
Keywords: by Rocio Wu
- Fast Answer
How Do I Cite Generative Artificial Intelligence (AI) tools?
Students should consider the use of Chat-GPT and similar generative AI technologies the same as using the internet, and therefore follow the same school... View Details
- 11 Oct 2024
- Research & Ideas
How AI Could Ease the Refugee Crisis and Bring New Talent to Businesses
cultural background, to help families start new lives safely. AI significantly improves matches Algorithms seek to streamline that work. Paulson and Bansak analyzed patterns in two countries that accept humanitarian immigrants:... View Details
- 30 May 2024
- Research & Ideas
Racial Bias Might Be Infecting Patient Portals. Can AI Help?
experiment with generative artificial intelligence (AI)—ramifications of its use on practice are just starting to be examined. The research sheds light on the biases that digital platforms, whether a simple messaging solution or a... View Details
- Web
Hacking AI with HBS IT | Information Technology
Hacking AI with HBS IT By Kellyn Eaddy on August 28, 2024 Share via Facebook Share via LinkedIn Print Share via email In June, HBS IT held its second annual Hackathon, a three-day event where staff members from across the organization... View Details
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
computer-based recommendation technology to help consumers make decisions. Yeomans' findings shed light on the hurdles that AI technology will need to overcome to win over wary consumers. The team enlisted 75 pairs of people, including... View Details
Keywords: by Dina Gerdeman
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive... View Details
- 05 Nov 2024
- Research & Ideas
AI Can Help Leaders Communicate, But Can't Make Employees Listen
and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana Cohen-Halberstam using images View Details