Perspectives bring together diverse ways of learning from the D^3 community.
Through events, conversations, and insight articles curated in the Future Proof with AI online learning platform, we’ll highlight how D^3 is shaping the future of AI in business and society.
Events

Events connect you directly with the people driving innovation at D^3. Join live online sessions with D^3 at Harvard faculty and affiliates, or explore upcoming in-person gatherings. You’ll also find recordings and related insight articles from past events, designed to extend your learning and share key takeaways with the broader community.
Conversations

Conversations spotlight insights from interviews, podcasts, and videos featuring D^3 at Harvard faculty and affiliates. Whether recorded in collaboration with D^3 or elsewhere, these conversations on our online learning platform offer valuable perspectives on AI, leadership, and innovation. We’ve curated them here to share the thinking and experiences of our faculty, helping you explore real-world applications of emerging technologies through expert dialogue.
Insights

Insights are short pieces (~750 words) that summarize and contextualize cutting-edge AI-related work emerging from the labs and affiliates of the Digital Data Design Institute at Harvard (D^3). These articles translate complex research into accessible takeaways for leaders. On occasion, we also feature select AI-focused research from Harvard Business School and broader Harvard faculty when especially relevant to our community and mission.
Upcoming Event:
D^3 Discussions is an exclusive webinar series hosted on Future Proof with AI featuring the latest research and insights from D^3 at Harvard faculty and affiliates.

Making Better Decisions with AI | Thursday, March 26, 2:00 p.m. ET (Live, Online)
Hosted by Matt Nemesure, PhD, Lead Data Scientist at the Digital Data Design Institute at Harvard (D^3), D^3 Discussions: Making Better Decisions with AI introduces how you can use AI to support clearer thinking, better decisions, and more efficient workflows across many domains. We’ll explore how AI can make sense of your information and data, then outline key considerations for deciding when and how to use if effectively, from understanding the challenges of long-term LLM model usage to recognizing how framing, ordering, and context can shape AI-generated results. We’ll discuss why validation and quality control remain essential, including the role of human judgment, thoughtful prompting, and accessible examples to help you start applying these principles in your own work.

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