Kamar, Ece

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1,526

Machine behaviour

Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1,364

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 757

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 754

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

Bansal, G., Nushi, B., Kamar, E., Lasecki, W. S., Weld, D. S., & Horvitz, E. (2019) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 466

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

Bansal, G., Nushi, B., Kamar, E., Weld, D. S., Lasecki, W. S., & Horvitz, E. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 284

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 279

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 276

Toward fairness in AI for people with disabilities SBG@a research roadmap

Guo, A., Kamar, E., Vaughan, J. W., Wallach, H., & Morris, M. R. (2020) · ACM SIGACCESS Accessibility and Computing

Ethics and Social Impacts of AIDigital Accessibility for Disabilities

Cited by 128

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Nushi, B., Kamar, E., & Horvitz, E. (2018) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 126

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

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

Barocas, S., Guo, A., Kamar, E., Krones, J., Morris, M. R., Vaughan, J. W., Wadsworth, W. D., & Wallach, H. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 72

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions

Chung, J., Kamar, E., & Amershi, S. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 72

Designing an Online Infrastructure for Collecting AI Data From People With Disabilities

Park, J. S., Bragg, D., Kamar, E., & Morris, M. R. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Digital Accessibility for DisabilitiesEthics and Social Impacts of AI

Cited by 50

Investigations of Performance and Bias in Human-AI Teamwork in Hiring

Peng, A., Nushi, B., Kiciman, E., Inkpen, K., & Kamar, E. (2022) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 34

Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism

Mallari, K., Inkpen, K., Johns, P., Tan, S., Ramesh, D., & Kamar, E. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 24

Interpretable & Explorable Approximations of Black Box Models

Lakkaraju, H., Kamar, E., Caruana, R., & Leskovec, J. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 23

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

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Fourney, A., Bansal, G., Mozannar, H., Tan, C., Salinas, E., Erkang, Zhu, Niedtner, F., Proebsting, G., Bassman, G., et al. (2024) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 17