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      • 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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      De Freitas, Julian. "Will Consumers Buy Selfish Self-Driving Cars?" Wall Street Journal (October 14, 2023), C5.
      • 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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      Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
      • September 2023
      • Case

      Ada: Cultivating Investors

      By: Reza Satchu and Patrick Sanguineti
      Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details
      Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry
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      Satchu, Reza, and Patrick Sanguineti. "Ada: Cultivating Investors." Harvard Business School Case 824-090, September 2023.
      • September 2023 (Revised December 2023)
      • Case

      TetraScience: Noise and Signal

      By: Thomas R. Eisenmann and Tom Quinn
      In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
      Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
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      Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • September 2023 (Revised January 2024)
      • Case

      AI21 Labs in 2023: Strategy for Generative AI

      By: David Yoffie, Orna Dan and Elena Corsi
      Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details
      Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel
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      Yoffie, David, Orna Dan, and Elena Corsi. "AI21 Labs in 2023: Strategy for Generative AI." Harvard Business School Case 724-383, September 2023. (Revised January 2024.)
      • September 2023 (Revised April 2024)
      • Case

      Atomwise: Strategic Opportunities in AI for Pharma

      By: Satish Tadikonda
      Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
      Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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      Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
      • September 2023
      • Case

      Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)

      By: Feng Zhu and Kerry Herman
      Dr. Zhang, CEO of Super Quantum, an AI-driven hedge fund, is considering an investor’s request to withdraw their funds as the markets experience volatility. Should he pull the investor’s funds? View Details
      Keywords: AI and Machine Learning; Volatility; Financial Markets; Investment Funds; Decision Choices and Conditions; Financial Services Industry
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      Zhu, Feng, and Kerry Herman. "Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)." Harvard Business School Case 624-027, September 2023.
      • September 2023 (Revised May 2025)
      • Teaching Note

      On (A) and (B)

      By: Ramon Casadesus-Masanell, Karolin Frankenberger, Sascha Mader, Jordan Mitchell and Karen Elterman
      Teaching Note for "On," HBS Case No. 723-430. On is a premium performance running shoe company founded in Switzerland in 2010. The company rapidly gained traction through its unique CloudTec cushioning technology, its innovative midsole plate called the Speedboard, and... View Details
      Keywords: Brands and Branding; Business Growth and Maturation; Business Model; Business Startups; Business Strategy; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customer Focus and Relationships; Customer Satisfaction; Digital Marketing; Disruptive Innovation; Distribution Channels; Entrepreneurship; Environmental Sustainability; Global Strategy; Initial Public Offering; Innovation and Invention; Innovation Strategy; Market Entry and Exit; Marketing Strategy; Product Design; Product Development; Product Marketing; Social Media; Strategy; Supply Chain Management; Technological Innovation; Apparel and Accessories Industry; Consumer Products Industry; Manufacturing Industry; Retail Industry; Sports Industry; Europe; Germany; Switzerland; United States
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      Casadesus-Masanell, Ramon, Karolin Frankenberger, Sascha Mader, Jordan Mitchell, and Karen Elterman. "On (A) and (B)." Harvard Business School Teaching Note 724-375, September 2023. (Revised May 2025.)
      • September 2023 (Revised September 2023)
      • Supplement

      On Slides

      By: Ramon Casadesus-Masanell, Karolin Frankenberger, Sascha Mader, Jordan Mitchell and Karen Elterman
      Slides to support the teaching of the On case, 723-430. On is a premium performance running shoe company founded in Switzerland in 2010. The company rapidly gained traction through its unique CloudTec cushioning technology, its innovative midsole plate called the... View Details
      Keywords: Brands and Branding; Business Growth and Maturation; Business Model; Business Startups; Business Strategy; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customer Focus and Relationships; Customer Satisfaction; Digital Marketing; Disruptive Innovation; Distribution Channels; Entrepreneurship; Environmental Sustainability; Global Strategy; Initial Public Offering; Innovation and Invention; Innovation Strategy; Market Entry and Exit; Marketing Strategy; Product Design; Product Development; Product Marketing; Social Media; Strategy; Supply Chain Management; Technological Innovation; Apparel and Accessories Industry; Consumer Products Industry; Manufacturing Industry; Retail Industry; Sports Industry; Europe; Germany; Switzerland; United States
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      Casadesus-Masanell, Ramon, Karolin Frankenberger, Sascha Mader, Jordan Mitchell, and Karen Elterman. "On Slides." Harvard Business School PowerPoint Supplement 724-376, September 2023. (Revised September 2023.)
      • 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
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      Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
      • September–October 2023
      • Article

      Reskilling in the Age of AI

      By: Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic and Raffaella Sadun
      In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and... View Details
      Keywords: Competency and Skills; AI and Machine Learning; Training; Adaptation; Employees; Digital Transformation
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      Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
      • 2024
      • Working Paper

      The Crowdless Future? Generative AI and Creative Problem Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
      • 2023
      • Working Paper

      Channeled Attention and Stable Errors

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
      Keywords: Attentional Stability; Cognition and Thinking; Attitudes; Information; Theory
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023. (Revise and Resubmit, Quarterly Journal of Economics.)
      • August 2023
      • Article

      Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
      • 2023
      • Article

      Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

      By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
      The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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      Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
      • 2023
      • Working Paper

      Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate

      By: Mengxia Zhang and Isamar Troncoso
      3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to... View Details
      Keywords: Marketing; AI and Machine Learning; Technology Adoption; Real Estate Industry
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      Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
      • July 2023
      • Supplement

      Honeycomb (B): Jumping on The Generative AI Bandwagon?

      By: Jeffrey J. Bussgang and Kumba Sennaar
      Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
      Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States
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      Bussgang, Jeffrey J., and Kumba Sennaar. "Honeycomb (B): Jumping on The Generative AI Bandwagon?" Harvard Business School Supplement 824-013, July 2023.
      • July 2023 (Revised October 2024)
      • Case

      Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup

      By: Paul M. Healy and Jung Koo Kang
      The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative... View Details
      Keywords: Revenue Recognition; Financial Reporting; Entrepreneurial Finance; Business Startups; Growth and Development Strategy; Governance Compliance; Accrual Accounting; Financial Services Industry; United States
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      Healy, Paul M., and Jung Koo Kang. "Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup." Harvard Business School Case 124-015, July 2023. (Revised October 2024.)
      • July 2023
      • Case

      DayTwo: Going to Market with Gut Microbiome (Abridged)

      By: Ayelet Israeli
      DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
      Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
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      Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
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