Daniel E. Ho
Scholar

Daniel E. Ho

Google Scholar ID: iUqVzH0AAAAJ
Stanford University
Regulatory policyartificial intelligenceadministrative lawantidiscrimination
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Citations & Impact
All-time
Citations
22,352
 
H-index
42
 
i10-index
90
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗
Publications
22 items
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
2026
Cited
0
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies
2026
Cited
0
Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
2025
Cited
0
Near-Exponential Savings for Mean Estimation with Active Learning
2025
Cited
0
Disclosure and Evaluation as Fairness Interventions for General-Purpose AI
2025
Cited
0
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
2025
Cited
0
The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior
2025
Cited
0
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
2025
Cited
0
Resume (English only)
Background
  • William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Professor of Computer Science (by courtesy), Senior Fellow at Stanford Institute for Human-Centered Artificial Intelligence (HAI), Senior Fellow at Stanford Institute for Economic Policy Research (SIEPR), Director of Regulation, Evaluation, and Governance Lab (RegLab).
Co-authors
0 total
Co-authors: 0 (list not available)