Publications
Publications
Show Results For
- All HBS Web
(3,060)
- Faculty Publications (378)
Training
→
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
- September 2023
- Case
Trilling Foods: Managing People with Data
Trilling Foods, a regional bricks-and-mortar grocery chain, has recently provided its frontline managers with new tools for using data. Allison Andersen, Trilling’s VP of Data Science, has spearheaded these efforts. Yet, as she works with Kent Wade, the general manager... View Details
- September–October 2023
- Article
Reskilling in the Age of AI
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
- August 2023
- Case
Constellation Pharmaceuticals: Corporate Development at a Novel Therapeutic Company
By: Satish Tadikonda and Brad Prosek
Constellation Pharmaceuticals was a company focused on epigenetic therapies for cancer patients. Despite a promising start and an early deal with a leading biopharma company, the company weathered twin setbacks in the end of a major research collaboration and the... View Details
- August 2023
- Case
Salma Qarnain: Spaceships to Broadway
By: Leslie Perlow, Mel Martin and Hannah Weisman
Salma Qarnain, daughter of Pakistani Muslim immigrants, is an engineer trained at Stanford and MIT. She began her career building spacecrafts but 30 years later finds herself pursuing her calling, acting on Broadway. The case explores Qarnain’s career path, family... View Details
Keywords: Personal Development and Career; Job Search; Job Design and Levels; Happiness; Identity; Well-being; Work-Life Balance; Family and Family Relationships; Theater Entertainment; Film Entertainment; Talent and Talent Management; Entertainment and Recreation Industry; Motion Pictures and Video Industry; Aerospace Industry; United States; New York (city, NY); Boston; California
- 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
- August 2023
- Article
Status and Mortality: Is There a Whitehall Effect in the United States?
By: Tom Nicholas
The influential Whitehall studies found that top-ranking civil servants in Britain experienced lower mortality than civil servants below them in the organizational hierarchy due to differential exposure to workplace stress. I test for a Whitehall effect in the United... View Details
- 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
- July 2023 (Revised April 2024)
- Case
Raymond Jefferson: Trial by Fire
By: Anthony Mayo and Carin-Isabel Knoop
In the spring of 2021, Raymond (Ray) Jefferson applied for a job in President Joseph Biden’s administration. Ten years earlier, false allegations were used to force him to resign from his prior U.S. government position as Assistant Secretary of Labor for Veterans’... View Details
- 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
- July 2023
- Article
Managerial Quality and Productivity Dynamics
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document... View Details
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
- 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
- May 2023
- Course Overview Note
Space: Public and Commercial Economics (SPACE)
SPACE is a course with two goals: to use the tools of economics to better understand the rapidly evolving space sector, and to train the next generation of commercial space leaders. We pursue these goals through a systematic study of the growing space economy,... View Details
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
- April 2023
- Article
Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below
By: Ting Zhang, Dan Wang and Adam D. Galinsky
Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
- March–April 2023
- Article
The New-Collar Workforce
By: Colleen Ammerman, Boris Groysberg and Ginni Rometty
Many workers today are stuck in low-paying jobs, unable to advance simply because they don’t have a bachelor’s degree. At the same time, many companies are desperate for workers and not meeting the diversity goals that could help them perform better while also reducing... View Details