Houde, Stephanie

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)

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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)

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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)

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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

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Investigating Explainability of Generative AI for Code through Scenario-based Design

Sun, J., Liao, Q. V., Muller, M., Agarwal, M., Houde, S., Talamadupula, K., & Weisz, J. D. (2022) · 27th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Software Engineering Research

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Better Together? An Evaluation of AI-Supported Code Translation

Weisz, J. D., Muller, M., Ross, S. I., Martinez, F., Houde, S., Agarwal, M., Talamadupula, K., & Richards, J. T. (2022) · 27th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

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Toward General Design Principles for Generative AI Applications

Weisz, J. D., Muller, M., He, J., & Houde, S. (2023) · arXiv

Innovative Human-Technology InteractionUsability and User Interface Design

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Experiences with Improving the Transparency of AI Models and Services

Hind, M., Houde, S., Martino, J., Mojsilovic, A., Piorkowski, D., Richards, J., & Varshney, K. R. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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

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Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

He, J., Houde, S., & Weisz, J. D. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Law, AI, and Intellectual PropertyDesign Education and Practice

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A Methodology for Creating AI FactSheets

Richards, J., Piorkowski, D., Hind, M., Houde, S., & Mojsilović, A. (2020) · arXiv

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

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Towards evaluating and eliciting high-quality documentation for intelligent systems

Piorkowski, D., González, D., Richards, J., & Houde, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Software Engineering Research

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Quality Estimation & Interpretability for Code Translation

Agarwal, M., Talamadupula, K., Houde, S., Martinez, F., Muller, M., Richards, J., Ross, S., & Weisz, J. D. (2020) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

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