Hind, Michael
IBM (United States) · IBM Research - Thomas J. Watson Research Center
7 papers on CoChat
Most cited papers
- Verified
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
- Verified
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
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
Codella, N. C. F., Lin, C.-C., Halpern, A., Hind, M., Feris, R., & Smith, J. R. (2018) · Lecture Notes in Computer Science
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 52
- Verified · note
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
Cited by 44
- Verified
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
Cited by 28
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