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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

The Future of Decision-Making: How Generative AI Transforms Innovation Evaluation

As businesses grapple with an ever-growing volume of ideas, products, and solutions to evaluate, decision-making processes are being reshaped by artificial intelligence (AI). Generative AI, in particular, has emerged as a game-changer in creative problem-solving and evaluation, as demonstrated by a recent field experiment described in the working paper “The Narrative AI Advantage? A Field […]

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 […]

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 […]

Bridging the Gap Between Understanding and Control: Insights into AI Interpretability

As large language model (LLM) systems grow in complexity, the challenge of ensuring their outputs align with human intentions has become critical. Interpretability—the ability to explain how models reach their decisions—and control—the ability to steer them toward desired outcomes—are two sides of the same coin. “Towards Unifying Interpretability and Control: Evaluation via Intervention”—research by Usha […]

Data Science and Social Impact: A collaboration between Howard University and D^3’s Blackbox Lab

In their recent blog post, “Partnering Data Science and Social Impact at Howard University”, D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, showcases how their partnership with Howard University empowers students and faculty to leverage data-driven solutions for addressing real-world challenges in underrepresented communities. […]

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

Your Guide to the blackbox Lab

In a recent blog post, D^3’s blackbox Lab formally introduced itself to its readership, highlighting its mission to explore the intersection of race, culture, technology, and business in digital spaces. Led by James Riley, Assistant Professor at Harvard Business School, the Lab focuses on understanding value creation in digital market platforms and addressing historic inequities. […]

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 […]

Because AI

changes everything

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.

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