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About

Emmanuelle Danblon is a pioneering researcher at the intersection of rhetoric, linguistics, and robotics, exploring how human language shapes our understanding of autonomous machines. Her key research areas include lexical ambiguity resolution, rhetorical analysis of scientific discourse, and the public representation of artificial intelligence. Danblon’s major contribution lies in demonstrating that the words used to describe robotic actions—such as “touch” versus “feel”—carry inherent ambiguities that challenge ordinary language processing, revealing how humans anthropomorphize technology through linguistic framing. Her work, including the highly cited papers “How do humans read robotics?” (2018) and “Roboticists and Reporters” (2020), has garnered over 14 citations, establishing her as a leading voice in the rhetoric of robotics. Notably, her experimental collaboration with the Cité des Sciences et de l’Industrie in Paris bridges academic theory with public engagement, probing whether robots “decide” or merely “select.” Danblon’s research is essential for students and scholars in science communication, AI ethics, and cognitive linguistics, offering critical insights into how language mediates our relationship with emerging technologies.