Expert Bio

Much of Professor Solovey's work explores effective human interaction with complex and autonomous systems and vehicles. One focus of research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. She designs, builds and evaluates interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. She also investigates novel paradigms for designing with accessibility in mind, particularly for the Deaf community.

Podcast Episodes

MIT Technology Review
Meet the early-adopter judges using AI

Judges are grappling with whether and when to use artificial intelligence. Erin Solovey, associate professor of computer science, studied how judges in the U.K. perceive the risks and benefits of using artificial intelligence in the courts. She conducts research on human-AI interaction and provided analysis for an MIT Technology Review article on new technology and the judicial system. 

The Times (London)
Robots won’t replace us, say judges

International media outlets reported on research conducted by a group of professors including Erin Solovey, an associate professor in the Department of Computer Science. Solovey and professors from Harvard-Radcliffe Institute and Maynooth University explored perceptions of artificial intelligence from 12 judges in the United Kingdom, including 5 members of the U.K. Supreme Court, through a focus group study. Their research paper, which outlines both opportunities for AI implementation in some judicial situations as well as concerns about over-reliance on the technology, won best paper award at last month’s Symposium on Human-Computer Interaction for Work (CHIWORK) in Amsterdam.

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