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Researcher Bijona Troqe of Linköping University studied human-machine joint decision-making in her doctoral thesis, finding that the roles of humans and AI are not fixed but change with context, available information and risk level. The research is based on three scenarios of personalized medicine in Sweden: AI-assisted breast cancer screening, personalized drug development and data-driven healthcare, and points out that AI, by ranking information, identifying patterns and generating risk scores, influences what people focus on before the final choice. She suggests that organizations first clarify which decisions they want to improve and which problems they want to solve, rather than starting from technology. Currently the research has been published as a doctoral thesis, with no reports of further progress yet.
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Oct 23
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How AI Changes Human Decision-Making: A Linköping University Doctoral Thesis Studies Human-AI Collaborative Decision-Making
Bijona Troqe's doctoral thesis at Linköping University studies joint human-AI decision-making and finds that the roles of humans and AI are not fixed but vary with context, available information, and risk level. Based on three scenarios of personalized medicine in Sweden—AI-assisted breast cancer screening, personalized drug development, and data-driven healthcare—the research points out that AI, by ranking information, identifying patterns, and generating risk scores, influences what people focus on before the final choice is made. She recommends that organizations first clarify the decisions to be improved and the problems to be solved, rather than starting from technology.