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Human-Centered Technology

In this interdisciplinary endeavor, scholars and professionals unite on a mission to harness technology’s potential to amplify and unlock human capabilities. They explore the dynamic intersection of technology and humanity, seeking ways to enhance the human experience. By integrating insights from social sciences, design methodology, and technological expertise, this collaborative community empowers the leaders of tomorrow to increase innovation velocity while keeping humanity at the center.

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Teaching Trust: How Small AI Models Can Make Larger Systems More Reliable

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 […]

Unifying AI Attribution: A New Frontier in Understanding Complex Systems

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 […]

Decoding Digital Dynamics: Insights from the Digital Competition and Tech Regulation Conference

As digital platforms continue to reshape markets, the intersection of competition, innovation, and regulation demands nuanced understanding. On April 17–18, 2025, Digital Data Design Institute’s Platform Lab and Harvard Business School hosted the third annual Digital Competition and Tech Regulation Conference, convening over 70 leading academics, industry practitioners, and policymakers from around the world. With […]

The Gender Divide in Generative AI: A Global Challenge

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 […]

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