You don’t just slam a laptop shut on a friend. You say goodbye. That small social ritual turns out to be a powerful behavioral cue for AI companions, and an opportunity to keep you engaged longer. The new working paper “Emotional Manipulation by AI Companions,” co-authored by Julian De Freitas, Assistant Professor of Business Administration […]
Have you ever received a response from ChatGPT that seems to get you almost too well? A recent preprint review of research, “AI-Generated Empathy: Opportunities, limits, and future directions,” written by a team including Amit Goldenberg, faculty principal investigator in the Digital Emotions Lab at the Digital Data Design Institute at Harvard (D^3), suggests that […]
One of AI agents’ most powerful tools is memory: the ability to learn from the past, adapt to new situations, and improve over time. But as organizations and professionals increasingly deploy AI agents for complex and long-term tasks, an important question emerges: how can we ensure that these systems learn from experience without getting trapped […]
In the ever-evolving AI landscape, are you truly ready to integrate new technologies effectively, taking advantage of the radical opportunities they present for productivity increases and better operating models? Karim R. Lakhani, Dorothy and Michael Hintze Professor of Business Administration at Harvard Business School and faculty chair and co-founder of the Digital Data Design (D^3) […]
The disconnect between AI’s transformative potential and the actual scale of implementation represents one of today’s most significant organizational challenges. In their new article for the Harvard Business Review, “A Guide to Building Change Resilience in the Age of AI,” Karim Lakhani, Dorothy and Michael Hintze Professor of Business Administration at Harvard Business School and […]
On May 13, 2025, the Digital Data Design (D^3) Institute at Harvard held a university-wide Generative AI Symposium in partnership 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 […]
On May 13, 2025, the Digital Data Design (D^3) Institute at Harvard held a university-wide Generative AI Symposium in partnership 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 […]
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 […]
