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(1,194)
- People (1)
- News (232)
- Research (675)
- Events (17)
- Multimedia (8)
- Faculty Publications (560)
Show Results For
- All HBS Web
(1,194)
- People (1)
- News (232)
- Research (675)
- Events (17)
- Multimedia (8)
- Faculty Publications (560)
- Program
Competing in the Age of AI—Virtual
will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; View Details
- 22 Oct 2007
- Research & Ideas
Bringing ‘Lean’ Principles to Service Industries
"waterfall" method in which each step of the process is completed in turn by a separate worker. By sharing mistakes across the process, the customer and project team members benefit individually View Details
- 02 Jul 2019
- Blog Post
Summer Listening - HBS Podcasts to Take to the Beach
nature of work. Prediction: How AI will affect Business, Work, and LifeHow should we think about improvements in artificial intelligence? Bill speaks with Joshua Gans, co-author of "Prediction Machines: The... View Details
- 21 Nov 2022
- Blog Post
HBS Student Club Spotlight: Sustainability Club
In this blog, hear from 2022-23 Sustainability Club co-presidents: Angela Son, Erin O’ Malley & Meghavi Talati (all MBA 2023). What are the mission and activities of your club? The Sustainability Club is a place where all students,... 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
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- Web
Publications - Faculty & Research
Transformation ; Decision Making ; Globalized Markets and Industries ; Government and Politics ; AI and Machine... View Details
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Web
Faculty & Research
months. D^3 Institute Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven... View Details
- Web
HBS Working Knowledge – Harvard Business School Faculty Research
Forman 24 OCT 2023 | HBS Case What do Steve Jobs and Sarah Breedlove have in common? Through a series of case studies, Robert Simons explores the unique qualities of visionary leaders and what today's... View Details
- Research Summary
Overview
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- 08 Mar 2011
- First Look
First Look: March 8
relocate to Japan and compete with other world-class international business schools. Purchase this case:http://cb.hbsp.harvard.edu/cb/product/811061-PDF-ENG The Wright Brothers and Their Flying View Details
Keywords: Sean Silverthorne
- December 2018
- Teaching Note
Autonomous Vehicles: The Rubber Hits the Road…but When?
By: William Kerr and James Palano
The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about... View Details
- 21 Oct 2024
- Research & Ideas
What Happens in Vegas Could Shape the Metaverse
and machine learning—Wu says the metaverse and AI are inextricably linked. After all, generative AI could help... View Details
Graphic Packaging: Project Cowboy
In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- Teaching Interest
Data Science for Managers
- Served as a teaching fellow; assisted MBA students with classroom coding exercises.
- Developed course materials, including new case studies, technical notes, and code notebooks students used to analzye case data.
- Developed interactive web... View Details