Rayid Ghani is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/machine learning/data science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Ghani works with governments and nonprofits in policy areas such as health, criminal justice, education, public safety, economic development and urban infrastructure. Ghani is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact. Previously, Ghani was the chief scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors and volunteers.
Areas of Expertise (2)
Carnegie Mellon University: M.S., Machine Learning
University of the South: B.S., Computer Science and Mathematics
Media Appearances (1)
AI and the tradeoff between fairness and efficacy: 'You actually can get both'
Healthcare IT News online
"You actually can get both. You don't have to sacrifice accuracy to build systems that are fair and equitable," said Rayid Ghani, a CMU computer science professor and an author on the study, in a statement.