Because AI
is only half the answer
60 percent of the content we share on our Monday morning meetings is about AI.
Mickey Mikitani, D^3 Advisory Council Member and Founder, Chairman, and CEO of Rakuten Group, Inc.

Because AI
is a superpower

Enhancing AI through Self-Verification
In the rapidly evolving field of artificial intelligence (AI), a recent study by Yuda Song, PhD student at Carnegie Mellon University; Hanlin Zhang, PhD student at Harvard; Sham M. Kakade, Co-director of the Kempner Institute at Harvard, and a team of researchers (see the Meet the Authors section for details) explores the concept of AI […]

Mastering Efficiency in AI Training: Insights from Critical Batch Size Research
As businesses increasingly adopt large-scale AI models, optimizing training efficiency is crucial. In “How Does Critical Batch Size Scale in Pre-training?”, Hanlin Zhang and a group of colleagues (see below for author details) explore critical batch size (CBS)—the threshold at which data parallelism, which distributes training data across multiple processors, stops yielding significant returns from […]

Music in the Digital Age: Empowering Creators
A recent post, “Shaping the Future of Music in the Creator Economy,” from D^3 blackbox Lab, described how the music industry is undergoing a transformation driven by digital tools and shifting business models. The blog outlined a panel discussion hosted by James Riley, Principal Investigator of the lab and Assistant Professor at HBS, that featured […]

The Creative Edge: How Human-AI Collaboration is Reshaping Problem-Solving
As artificial intelligence (AI) capabilities rapidly advance, organizations are exploring new ways to leverage these technologies for creative problem-solving and innovation. A recent HBS working paper, “The Crowdless Future? Generative AI and Creative Problem Solving”, – by Léonard Boussioux, Assistant Professor at the University of Washington; Jacqueline N. Lane, Assistant Professor at Harvard Business School […]

Croissant: A Game-Changing Metadata Format for Machine Learning Datasets
Data is a vital input for machine learning (ML), but data management remains a significant challenge. A new metadata format called Croissant, introduced by Mubashara Akhtar, a PhD student at King’s College London, Satyapriya Krishna, a PhD student at the Harvard School of Engineering and Applied Sciences (SEAS) and the Trustworthy AI Lab at the […]
Because AI
transforms productivity
Organizations have four questions to answer: What useful thing you do is no longer valuable? What impossible thing can you do now? What can you move downmarket or democratize? What can you move upmarket and personalize?
Ethan Mollick, Leading with AI Conference Featured Speaker and Associate Professor at the Wharton School of the University of Pennsylvania

Faithfulness and Accuracy: How Fine-Tuning Shapes LLM Reasoning
Large language models (LLMs) have exhibited remarkable capabilities across various domains; from finance to healthcare, education to content creation, their potential seems limitless. However, as businesses increasingly embrace these powerful tools, understanding their nuances becomes crucial. One critical aspect is fine-tuning, a process that adapts LLMs to specific tasks. While fine-tuning promises enhanced performance, research […]

Understanding and Addressing Managerial Sabotage in Organizations
In today’s competitive corporate landscape, the workplace can be a battleground of ambition and performance. While healthy competition can fuel innovation and productivity, research (“Determinants of Top-Down Sabotage”) by Hashim Zaman, Post-Doctoral Fellow at the Laboratory for Innovation Science at Harvard (LISH) and Karim R. Lakhani, Professor of Business Administration at Harvard Business School, founder […]
Because AI
changes everything

Harvard University Generative AI Symposium
Digital Data Design Institute at Harvard (D^3) is partnering with the Office of the Vice Provost for Research, the Office of the Vice Provost for Advances in Learning, the Faculty of Arts and Sciences, the Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University Information Technology and the Harvard Library to offer […] Continue reading Harvard University Generative AI Symposium


Our digital future is being invented today
Our work at the Digital Data Design Institute at Harvard focuses our 14 labs around six communities of practice to produce and share research-rooted knowledge on how society and business are interacting with artificial intelligence (AI) and digital technologies.