Roberto Rey Agudo publishes in the LA Review of Books

In his piece, “What Deep Learning Gets Wrong about Language,”he warns against the hidden social and economic costs of relying on automated translation—persistent problems with accuracy with the potential for costly errors in critical fields, gender and cultural bias in its design, shortchanging youth’s future access to higher paying jobs that require advanced language and intercultural skills--and argues that these issues stem from a narrow perspective about languages and how they are used. Instead, he advocate for a strong investment in language education and critical thinking skills. Roberto is one of two members of the Spanish and Portuguese Department selected to be part of the 2018 Dartmouth Public Voices Fellow program.