Bellamy, Rachel
IBM (United States)
15 papers on CoChatORCID 0000-0002-9403-2913
Most cited papers
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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Bellamy, R. K. E., Dey, K., Hind, M., Hoffman, S. C., Houde, S., Kannan, K., Lohia, P., Martino, J., Mehta, S., Mojsilovic, A., et al. (2018) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 1,581
- Verified
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
Bellamy, R. K. E., Dey, K., Hind, M., Hoffman, S. C., Houde, S., Kannan, K., Lohia, P., Martino, J., Mehta, S., Mojsilović, A., et al. (2019) · IBM Journal of Research and Development
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 884
- Verified
FactSheets: Increasing trust in AI services through supplier's declarations of conformity
Arnold, M., Bellamy, R. K. E., Hind, M., Houde, S., Mehta, S., Mojsilović, A., Nair, R., Ramamurthy, K. N., Olteanu, A., Piorkowski, D., et al. (2019) · IBM Journal of Research and Development
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 434
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Explaining models: an empirical study of how explanations impact fairness judgment
Dodge, J., Liao, Q. V., Zhang, Y., Bellamy, R. K. E., & Dugan, C. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 286
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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Arya, V., Bellamy, R. K. E., Chen, P.-Y., Dhurandhar, A., Hind, M., Hoffman, S. C., Houde, S., Liao, Q. V., Luss, R., Mojsilović, A., et al. (2019) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 268
- Verified · note
How Programmers Debug, Revisited: An Information Foraging Theory Perspective
Lawrance, J., Bogart, C., Burnett, M., Bellamy, R., Rector, K., & Fleming, S. D. (2013) · IEEE Transactions on Software Engineering
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 142
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Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers
Ghai, B., Liao, Q. V., Zhang, Y., Bellamy, R., & Mueller, K. (2021) · Proceedings of the ACM on Human-Computer Interaction
Explainable Artificial Intelligence (XAI)Machine Learning and Algorithms
Cited by 106
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An Information Foraging Theory Perspective on Tools for Debugging, Refactoring, and Reuse Tasks
Fleming, S. D., Scaffidi, C., Piorkowski, D., Burnett, M., Bellamy, R., Lawrance, J., & Kwan, I. (2013) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 79
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Using information scent to model the dynamic foraging behavior of programmers in maintenance tasks
Lawrance, J., Bellamy, R., Burnett, M., & Rector, K. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 76
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The whats and hows of programmers' foraging diets
Piorkowski, D. J., Fleming, S. D., Kwan, I., Burnett, M. M., Scaffidi, C., Bellamy, R. K. E., & Jordahl, J. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 61
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Designing Information for Remediating Cognitive Biases in Decision-Making
Zhang, Y., Bellamy, R. K. E., & Kellogg, W. A. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Decision-Making and Behavioral EconomicsDecision Support System Applications
Cited by 51
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Reactive information foraging for evolving goals
Lawrance, J., Burnett, M., Bellamy, R., Bogart, C., & Swart, C. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Retrieval and Search BehaviorUsability and User Interface Design
Cited by 50
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Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers
Piorkowski, D., Fleming, S., Scaffidi, C., Bogart, C., Burnett, M., John, B., Bellamy, R., & Swart, C. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 50
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Introduction to Explainable AI
Liao, Q. V., Singh, M., Zhang, Y., & Bellamy, R. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 34
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Towards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles
Kuttal, S. K., Myers, J., Gurka, S., Magar, D., Piorkowski, D., & Bellamy, R. (2020) · 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Teaching and Learning ProgrammingSoftware Engineering Techniques and Practices
Cited by 27
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