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The Unbearable Weight of Possible Futures: AI and Uncertainty
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Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
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A Personal Journey and the Future of Work AI—A Fireside Chat With Arvind Jain, CEO of Glean
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From Silicon to Intelligence: The Future of AI Compute—A Fireside Chat With Jim Keller, CEO of Tenstorrent
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What Does It Mean to Understand AI?
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Book Review of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship by Bruce Schneier and Nathan E. Sanders (MIT Press, 2025)
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Toward Causal Field Evaluations of AI Systems
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Understanding and Mitigating Unintended Bias in Medical AI Systems
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AI Agents Are Transforming Decision Making: What Leaders Should Know
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Using ChatGPT and Other AI Engines to Vocalize Medieval Hebrew
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Catalyst, Curiosity, and the Crazy Ones: Reflections on the Inaugural AI Summit at Harvard University
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Evaluating ChatGPT-4 and Machine Learning Models for Sentiment Analysis on a Multi-Script Moroccan Arabic Corpus: Insights, Challenges, and Future Directions
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Mercè Crosas
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Susan R. Lin
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Building a Data Science Department in a Research Institution
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Useful, Not Just Usable: Design Considerations for Instructionally Meaningful K–12 Data Sets
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Explainability in the Wild, or Wild Explanations? Evidence From Predicting Tax Evasion
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Toward Differentially Private Finite Population Estimation: An Approach Based on Survey Weight Regularization
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From Awaiting AGI to Better Aligning AGI: Academia, Government, and Industry
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Learning Models and Modalities to Build Data Equity Competencies
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Tracing Wine’s Globalization Empirically: New Updatable Annual Data Sets
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Peter Galison
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Broadening Access to Data Science Education: Open Source Tools and Training in High School and Higher Education
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Adel Daoud
