Meet the Professor of Economics and Strategy at UC San Diego’s Rady School
- The use of artificial intelligence tools does not correlate with an increase in user trust toward those same systems, according to research from Marta Serra-Garcia, a professor of...
- As enterprise workflows and everyday tasks increasingly incorporate automated assistants, academic inquiries have turned toward understanding how user behavior interacts with psychological trust.
- Industry observers and software developers often assume that regular engagement with generative tools naturally fosters familiarity and trust.
The use of artificial intelligence tools does not correlate with an increase in user trust toward those same systems, according to research from Marta Serra-Garcia, a professor of economics and strategy at the Rady School of Management at the University of California, San Diego. The finding highlights a growing disconnect between the frequent adoption of conversational models like ChatGPT and the underlying confidence users place in the technology.
As enterprise workflows and everyday tasks increasingly incorporate automated assistants, academic inquiries have turned toward understanding how user behavior interacts with psychological trust. Serra-Garcia’s work investigates whether hands-on interaction builds reliance or exposes limitations that temper user confidence.
Industry observers and software developers often assume that regular engagement with generative tools naturally fosters familiarity and trust. However, empirical findings from the University of California, San Diego professor suggest that frequency of use and trust operate independently in digital environments.
Organizations deploying conversational artificial intelligence must account for user skepticism even as adoption metrics rise. Future deployments will likely require targeted transparency measures rather than relying solely on user habituation to secure long-term confidence.
Additional findings from academic evaluations of artificial intelligence trust continue to emerge as researchers examine long-term interaction patterns across diverse user demographics.