-
Mercè Crosas
-
Susan R. Lin
-
Building a Data Science Department in a Research Institution
-
Understanding and Mitigating Unintended Bias in Medical AI Systems
-
Useful, Not Just Usable: Design Considerations for Instructionally Meaningful K–12 Data Sets
-
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
-
Attention Is Not All You Need: How AI Is Reshaping Consumer Attention and the Future of Brand Strategy
-
Explainability in the Wild, or Wild Explanations? Evidence From Predicting Tax Evasion
-
Toward Differentially Private Finite Population Estimation: An Approach Based on Survey Weight Regularization
-
From Awaiting AGI to Better Aligning AGI: Academia, Government, and Industry
-
A Personal Journey and the Future of Work AI—A Fireside Chat With Arvind Jain, CEO of Glean
-
From Silicon to Intelligence: The Future of AI Compute—A Fireside Chat With Jim Keller, CEO of Tenstorrent
-
The Unbearable Weight of Possible Futures: AI and Uncertainty
-
What Does It Mean to Understand AI?
-
AI Agents Are Transforming Decision Making: What Leaders Should Know
-
Learning Models and Modalities to Build Data Equity Competencies
-
Tracing Wine’s Globalization Empirically: New Updatable Annual Data Sets
-
Catalyst, Curiosity, and the Crazy Ones: Reflections on the Inaugural AI Summit at Harvard University
-
Peter Galison
-
Toward Causal Field Evaluations of AI Systems
-
Broadening Access to Data Science Education: Open Source Tools and Training in High School and Higher Education
-
Adel Daoud
-
Book Review of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship by Bruce Schneier and Nathan E. Sanders (MIT Press, 2025)
-
Ed Humpherson
