Artificial Intelligence and Anthropogeny

Event Date (Pacific Time): 
Friday, Mar 3, 2023 - 10:00am to 2:30pm

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Event Chairs:

Terry Sejnowski, Salk Institute for Biological Studies
Patricia Churchland, University of California, San Diego

Live Symposium Webcast:

Access to the live webcast for this symposium will be provided here on Friday, March 3 starting at 10:00 AM (Pacific Time).

The origin of humans is a difficult scientific problem in evolution that is grounded in biology and molded by culture. Recent advances in neuroscience and artificial intelligence have led to synergies and surprising new hypotheses. Mysteries such as the origin of language and human sociality are being illuminated by these advances. This symposium will be explored by researchers at the frontiers of A.I., machine learning, language and sociality.

Event Sessions:
Speakers Session

Pascal Gagneux


Terry Sejnowski

Opening Remarks

Blaise Agüera y Arcas

AI and Large Language Models

Damián Blasi

Human Languages and Their Cognition(s)

Ray Jackendoff

The Parallel Architecture in Language and Elsewhere
The Parallel Architecture is a theory of the mental representations (or “data structures”) involved in the language faculty. These representations are organized in three orthogonal dimensions or levels: phonology (sound structure), syntax (grammatical structure), and semantics (conceptual structure or meaning), correlated with each other through interface links. Words are encoded in all three levels and serve as part of the interface between sound and meaning. In the representation of an entire... read more

Eva Wittenberg

The Evolution of Syntax and Pragmatics in a Gradualist Scenario

Carmen Amo Alonso

John Doyle

The Role of Feedback in the Parallel Architecture of Language

Erich Jarvis

Evolution of Birdsong Learning and Human Spoken Language
Vocal learning is one of the most critical components of spoken language. It has only evolved several independent times among mammals and birds. Although all vocal learning species are distantly related and have closer relatives that are non-vocal learners, humans and the vocal learning birds have evolved convergent forebrain pathways that control song and speech imitation and production. Here I will present an overview of the various biological hypothesis of what makes vocal learning and... read more

Alison Barker

Linking Communication and Cooperation: Lessons from the Naked mole-rat

Gerd Gigerenzer

Common Sense and AI

Pulkit Agrawal

Learning by Experiment: Continually Evolving Machines

Patricia Churchland

Question & Answer Session and Closing Remarks

Registration Deadline: Friday, March 3, 2023 at 2:30 PM

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