Ghani, Rayid
Carnegie Mellon University
9 papers on CoChatORCID 0000-0003-0235-1843
Most cited papers
- Verified
Aequitas: A Bias and Fairness Audit Toolkit
Saleiro, P., Kuester, B., Hinkson, L., London, J., Stevens, A., Anisfeld, A., Rodolfa, K. T., & Ghani, R. (2018) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 496
- Verified
Artificial Intelligence for Social Good
Hager, G. D., Drobnis, A., Fang, F., Ghani, R., Greenwald, A., Lyons, T., Parkes, D. C., Schultz, J., Saria, S., Smith, S. F., et al. (2019) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 108
- Verified
Explainable machine learning for public policy: Use cases, gaps, and research directions
Amarasinghe, K., Rodolfa, K. T., Lamba, H., & Ghani, R. (2023) · Data & Policy
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 73
- Verified
Identifying Police Officers at Risk of Adverse Events
Carton, S., Helsby, J., Joseph, K., Mahmud, A., Park, Y., Walsh, J., Cody, C., Patterson, C. E., Haynes, L., & Ghani, R. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Policing Practices and PerceptionsEthics and Social Impacts of AI
Cited by 64
- Verified
Deploying Machine Learning Models for Public Policy: A Framework
Ackermann, K., Walsh, J., De Unánue, A., Naveed, H., Navarrete Rivera, A., Lee, S.-J., Bennett, J., Defoe, M., Cody, C., Haynes, L., et al. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Ethics and Social Impacts of AIPolicing Practices and Perceptions
Cited by 22
- Verified
Reducing Incarceration through Prioritized Interventions
Bauman, M. J., Boxer, K. S., Lin, T.-Y., Salomon, E., Naveed, H., Haynes, L., Walsh, J., Helsby, J., Yoder, S., Sullivan, R., et al. (2018) · Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
Criminal Justice and Corrections AnalysisEthics and Social Impacts of AI
Cited by 14
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On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Amarasinghe, K., Rodolfa, K. T., Jesus, S., Chen, V., Balayan, V., Saleiro, P., Bizarro, P., Talwalkar, A., & Ghani, R. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 13
- Verified
Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy
Rodolfa, K. T., Lamba, H., & Ghani, R. (2021) · Nature Machine Intelligence
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 10
- Verified
A recommendation and risk classification system for connecting rough sleepers to essential outreach services
Wilde, H., Chen, L. L., Nguyen, A., Kimpel, Z., Sidgwick, J., De Unanue, A., Veronese, D., Mateen, B., Ghani, R., & Vollmer, S. (2021) · Data & Policy
Homelessness and Social IssuesEthics and Social Impacts of AI
Cited by 3
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