Recommendations on the Ethical Use of Novel HIV Data & Analytics. Charles Holmes, Maggie Little, Heidi Weimer, Dylan Green, Alicia Patterson, Jonathan Healey, Sydney Luken, Janet Tatenda Bhila, Aleny Couto, Shona Dalal, Will Fleisher, Jen Gennai, Rayid Ghani, Peter Godfrey-Faussett, Melissa Goldstein, Kathy Hageman, Nina Hasen, Micheal Ighodaro, Thoko Kalua, Jennifer Miller, Yogan Pillay, Anton Pozniak, Miriam Rabkin, David Ribes,Lisa Singh. Working Group on the Ethical Use of Novel HIV Data and Analytics. October 2025

Enabling the AI Revolution in Healthcare. Mona Singh (Princeton University), Katie Siek (Indiana University Bloomington), David Danks (University of California San Diego), Rayid Ghani (Carnegie Mellon University), Haley Griffin (CRA), Brian LaMacchia (MPC Alliance), Daniel Lopresti (Lehigh University), Tammy Toscos (Parkview Health). Computing Research Association (CRA) Quadrennial Paper (2025),

Strategies for Integrating AI into State and Local Government Decision Making: Rapid Expert Consultation. Rayid Ghani, Linda Langston, Nathan McNeese, Suresh Venkatasubramanian. National Academies of Sciences, Engineering, and Medicine. 2025. Strategies for Integrating AI into State and Local Government Decision Making: Rapid Expert Consultation. Washington, DC: The National Academies Press. https://doi.org/10.17226/145.National Academies of Sciences, Engineering, and Medicine. 2025. Strategies for Integrating AI into State and Local Government Decision Making: Rapid Expert Consultation. Washington, DC: The National Academies Press. https://doi.org/10.17226/145.

The Science of Implicit Bias: Implications for Law and Policy. Thomas D. Albright, William A. Darity Jr., Diana Dunn, Rayid Ghani, Deena Hayes-Greene, Tanya Katerí Hernández, and Sheryl Heron. National Academies of Science, Engineering, and Medicine Report. 2024

Artificial Intelligence for Social Good. Gregory D. Hager, Ann Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, and Milind Tambe. Computing Community Consortium. March 2017.

Beyond Implicit Bias. Thomas D Albright, William A Darity Jr, Diana Dunn, Rayid Ghani, Deena Hayes-Greene, Tanya Katerí Hernández, Sheryl Heron. Daedalus 153 (1), 276-283. MIT Press 2024

Machine Learning. Rayid Ghani and Malte Schierholz. In Big Data and Social Science Research: Theory and Practical Approaches. Taylor Francis, 2016 (updated 2nd edition, 2020)

Fairness in Machine Learning. Kit Rodolfa, Pedro Saleiro, Rayid Ghani. In Big Data and Social Science Research: Theory and Practical Approaches. Taylor Francis, 2020

Machine Learning and Semantic Technologies for Enterprise Knowledge Management. Rayid Ghani and Divna Djordjevic. Book Chapter. Context and Semantics in Knowledge Management. Springer, 2011.

Incorporating Social Media Data into Customer Analytics. Rayid Ghani and Sarah Bentley. Book Chapter. Social Media Management Handbook. (2010). Wiley Press.

Data Mining for Consumer Modeling and Personalized Promotions. Rayid Ghani, Chad Cumby, Andrew Fano, and Marko Krema. Book Chapter – Data Mining Methods and Applications. 2008

Extracting and using Attribute-Value pairs from product descriptions on the web. Katharina Probst, Rayid Ghani, Yan Liu, Marko Krema, and Andrew Fano.  Book chapter – Web Mining. 2007

Mining the Web to Add Semantics to Retail Data Mining. Rayid Ghani. Invited Chapter. “Web Mining: From Web to Semantic Web”. Springer Lecture Notes in Artificial Intelligence, Vol.  3209. Berendt, B.; Hotho, A.; Mladenic, D.; van Someren, M.; Spiliopoulou, M.; Stumme, G. (Eds.) 2004.

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