D^3 Insights & Experiences

As Gen AI technology continues to rapidly evolve and LLMs are integrated into more and more applications, questions of trustworthiness and ethical alignment become increasingly crucial. In the recent study “Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models,” authors Martin Pawelczyk, postdoctoral researcher at Harvard working on trustworthy AI; Lillian Sun, undergraduate student at Harvard studying […]

As artificial intelligence systems become increasingly complex, understanding their behavior has become a critical challenge for businesses and researchers alike. In a recent preprint paper, “Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability,” authors Shichang Zhang, a postdoctoral fellow in the Trustworthy AI Lab at the Digital Data Design (D^3) Institute at […]

As generative AI transforms the business landscape, a concerning trend demands immediate attention from executives and policymakers alike. In the recent Harvard Business School (HBS) working paper, “Global Evidence on Gender Gaps and Generative AI,” authors Nicholas G. Otis, PhD candidate at the Berkeley Haas School of Business; Solène Delecourt, Assistant Professor at the Berkeley […]

In an era where AI is rapidly transforming business operations, a recent working paper, “The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise,” describes research that explored how generative AI is reshaping teamwork and expertise in organizational settings. This research, conducted through a large-scale field experiment at Procter & Gamble (P&G), […]

In an era where artificial intelligence (AI) increasingly shapes our digital landscape, the concept of “machine unlearning” (ML) has emerged as a potential solution to various challenges in AI governance. First authors A. Feder Cooper, Faculty Associate at The Berkman Klein Center for Internet & Society at Harvard University; Christopher A. Choquette-Choo, Research Scientist at […]

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 […]

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 […]

As artificial intelligence systems become more prevalent in our daily lives, ensuring these technologies are fair and representative of diverse populations is increasingly critical. A recent study, “Multi-Group Proportional Representation in Retrieval”, conducted by Flavio du Pin Calmon, an Associate Professor of Electrical Engineering at Harvard’s John A. Paulson School of Engineering and Applied Sciences, […]

With an estimated 96% of codebases incorporating Free and Open Source Software (FOSS), it forms the backbone of modern businesses, driving innovation and reducing costs across industries. However, its decentralized and distributed nature makes assessing its health, economic value, and security a significant challenge. The recently released report, Census III of Free and Open Source […]