Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode, Rebecca Woods talks about large language models.
In this episode, we talked to Rebecca Woods, a Senior Lecturer in Language and Cognition at Newcastle University. We have an amazing chat about language learning in AI, and she tells us how language is crucial to how GPT functions. She’s also an expert in how children learn languages, and she compares this to teaching AI how to process language.
Listen to the episode here:
Rebecca is a Lecturer in Language and Cognition in the School of English Language, Literature and Linguistics at Newcastle University. Prior to joining Newcastle in September 2019, she was Senior Lecturer in Language Acquisition at Linguistics at Huddersfield, within the University of Huddersfield. She joined Huddersfield from the University of York, where she completed her MA in Psycholinguistics (2012) and PhD in Linguistics (2016). She gained her BA in French and Linguistics from the University of Sheffield (2010). She is primarily interested in questions, both main and embedded, and their syntax, semantics and acquisition. She is also working on clausal embedding and discourse particles, while past projects have included bilingual first language acquisition, dative constructions, clitic doubling, sentential adverbs and possessives.
For the reading list and transcript for this episode, visit The Good Robot website.
Dr Eleanor Drage and Dr Kerry Mackereth are Research Associates at the Leverhulme Centre for the Future of Intelligence, where they work on the Mercator-Stiflung funded project on Desirable Digitalisation. Previously, they were Christina Gaw Postdoctoral Researchers in Gender and Technology at the University of Cambridge Centre for Gender Studies. During the COVID-19 pandemic they decided to co-found The Good Robot Podcast to explore the many complex intersections between gender, feminism and technology.