Horvitz, Eric

Modeling and predicting behavioral dynamics on the web

Radinsky, K., Svore, K., Dumais, S., Teevan, J., Bocharov, A., & Horvitz, E. (2012) · Proceedings of the 21st international conference on World Wide Web

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 122

Protecting scientific integrity in an age of generative AI

Blau, W., Cerf, V. G., Enriquez, J., Francisco, J. S., Gasser, U., Gray, M. L., Greaves, M., Grosz, B. J., Jamieson, K. H., Haug, G. H., et al. (2024) · Proceedings of the National Academy of Sciences

Academic integrity and plagiarismEthics and Social Impacts of AI

Cited by 118

Learning to Complement Humans

Wilder, B., Horvitz, E., & Kamar, E. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Machine Learning and AlgorithmsHuman-Automation Interaction and Safety

Cited by 118

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

Mozannar, H., Bansal, G., Fourney, A., & Horvitz, E. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 114

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

Mozannar, H., Bansal, G., Fourney, A., & Horvitz, E. (2022) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 114

Direct answers for search queries in the long tail

Bernstein, M. S., Teevan, J., Dumais, S., Liebling, D., & Horvitz, E. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorExpert finding and Q&A systems

Cited by 97

Scalable Fabric: flexible task management

Robertson, G., Horvitz, E., Czerwinski, M., Baudisch, P., Hutchings, D. R., Meyers, B., Robbins, D., & Smith, G. (2004) · Proceedings of the working conference on Advanced visual interfaces

Interactive and Immersive DisplaysPersonal Information Management and User Behavior

Cited by 89

Experience sampling for building predictive user models: a comparative study

Kapoor, A., & Horvitz, E. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingPersonal Information Management and User Behavior

Cited by 88

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Anderljung, M., Barnhart, J., Korinek, A., Leung, J., O'Keefe, C., Whittlestone, J., Avin, S., Brundage, M., Bullock, J., Cass-Beggs, D., et al. (2023) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 77

Holistic evaluation of large language models for medical tasks with MedHELM

Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

Will AI accelerate or delay the race to net-zero emissions?

Luers, A., Koomey, J., Masanet, E., Gaffney, O., Creutzig, F., Lavista Ferres, J., & Horvitz, E. (2024) · Nature

Climate Change Policy and EconomicsInnovation, Sustainability, Human-Machine Systems

Cited by 45

AI, people, and society

Horvitz, E. (2017) · Science

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 42

Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs

Fourney, A., White, R. W., & Horvitz, E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorHealth Literacy and Information Accessibility

Cited by 41

Influence of a Large Language Model on Diagnostic Reasoning: A Randomized Clinical Vignette Study

Goh, E., Gallo, R., Hom, J., Strong, E., Weng, Y., Kerman, H., Cool, J., Kanjee, Z., Parsons, A. S., Ahuja, N., et al. (2024) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 38

Captions and biases in diagnostic search

White, R. W., & Horvitz, E. (2013) · ACM Transactions on the Web

Information Retrieval and Search BehaviorHealth Literacy and Information Accessibility

Cited by 29

Principles of Lifelong Learning for Predictive User Modeling

Kapoor, A., & Horvitz, E. (2007) · Lecture Notes in Computer Science

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 28

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Mozannar, H., Bansal, G., Fourney, A., & Horvitz, E. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 23

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm

Kshirsagar, M., Meller, A., Humphreys, I. R., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G. R., Ferres, J. L., et al. (2025) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 23

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Mozannar, H., Bansal, G., Fourney, A., & Horvitz, E. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 22

Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm

Kshirsagar, M., Meller, A., Humphreys, I., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G., Ferres, J. L., et al. (2024) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 22

Blind spot detection for safe sim-to-real transfer

Ramakrishnan, R., Kamar, E., Dey, D., Horvitz, E., & Shah, J. (2020) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 21

From Tool to Teammate: A Randomized Controlled Trial of Clinician-AI Collaborative Workflows for Diagnosis

Everett, S. S., Bunning, B. J., Jain, P., Lopez, I., Agarwal, A., Desai, M., Gallo, R., Goh, E., Kadiyala, V. B., Kanjee, Z., et al. (2025) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 18

Large Language Model Influence on Management Reasoning: A Randomized Controlled Trial

Goh, E., Gallo, R., Strong, E., Weng, Y., Kerman, H., Freed, J., Cool, J. A., Kanjee, Z., Lane, K. P., Parsons, A. S., et al. (2024) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 13

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Ness, R. O., Matton, K., Helm, H., Zhang, S., Bajwa, J., Priebe, C. E., & Horvitz, E. (2024) · arXiv

Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education

Cited by 12