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      • 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.
      • August 2023
      • Case

      Beamery: Using Skills and AI to Modernize HR

      By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
      Unicorn human relationships startup Beamery evaluates it's growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry View Details
      Keywords: Acquisition; Business Growth and Maturation; Business Startups; Competency and Skills; Experience and Expertise; Talent and Talent Management; Customers; Nationality; Learning; Entrepreneurship; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Applications and Software; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Job Design and Levels; Employment; Human Capital; Europe; United Kingdom; United States
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      Groysberg, Boris, Alexis Lefort, Susan Pinckney, and Carolina Bartunek. "Beamery: Using Skills and AI to Modernize HR." Harvard Business School Case 424-004, August 2023.
      • August 2023
      • Case

      Kariyer.net: Recruiting AI

      By: Shunyuan Zhang, Fares Khrais and Namrata Arora
      In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
      Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Employment Industry; Information Technology Industry; Technology Industry; Middle East; Turkey
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      Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
      • 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.)
      • August 2023
      • Case

      The Ethical Tightrope: When to Disclose the AI Shortcut

      By: David G. Fubini, William Fubini and Patrick Sanguineti
      In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision... View Details
      Keywords: Ethics; Personal Development and Career; Decisions; Consulting Industry
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      Fubini, David G., William Fubini, and Patrick Sanguineti. "The Ethical Tightrope: When to Disclose the AI Shortcut." Harvard Business School Case 424-011, August 2023.
      • 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
      • Other Unpublished Work

      Visions of Vision Pro

      By: Randolph B. Cohen
      Daily ups and downs of the market are often driven by changes in interest-rate expectations and investor risk aversion. But over the long run, it's often technological change that is the primary driver of value. A decade ago, Tyler Cowen argued in his book The Great... View Details
      Keywords: Technological Innovation; Disruptive Innovation; Product Launch
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      Cohen, Randolph B. "Visions of Vision Pro." August 2023. (LinkedIn Articles.)
      • 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
      • 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.
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • June 2023 (Revised July 2023)
      • Case

      Social Media Background Screening at Fama Technologies

      By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
      Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
      Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States
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      Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
      • June 2023
      • Supplement

      Social Media Background Screening at Fama Technologies (B)

      By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
      Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
      Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; United States
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      Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies (B)." Harvard Business School Supplement 123-086, June 2023.
      • 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
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      Pacelli, Joseph, and Jonas Heese. "Cautious Adoption of AI Can Create Positive Company Culture." CMR Insights (June 20, 2023).
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • June 19, 2023
      • Article

      Should You Start a Generative AI Company?

      By: Julian De Freitas
      Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
      Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Applications and Software
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      De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
      • June 12, 2023
      • Article

      How AI Will Accelerate the Circular Economy

      By: Shirley Lu and George Serafeim
      Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
      Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Industrial Products Industry; Consumer Products Industry; Technology Industry
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      Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 2023).
      • 2023
      • Working Paper

      Auditing Predictive Models for Intersectional Biases

      By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
      Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
      Keywords: Predictive Models; Bias; AI and Machine Learning
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      Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
      • June 2023
      • Case

      Verve Therapeutics: Taking DNA Editing to Heart

      By: Shikhar Ghosh and Shweta Bagai
      Verve Therapeutics, a public biotech company based in Boston, created a novel approach to addressing cardiovascular disease (CVD) - a leading cause of deaths globally. The company's approach was a single shot treatment to permanently lower cholesterol, thus reducing... View Details
      Keywords: AI; Genetic Engineering; Medicine; Health Care and Treatment; Genetics; Innovation Strategy; Business and Stakeholder Relations; Medical Specialties; Innovation and Invention; Entrepreneurship; Biotechnology Industry
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      Ghosh, Shikhar, and Shweta Bagai. "Verve Therapeutics: Taking DNA Editing to Heart." Harvard Business School Case 823-113, June 2023.
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