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).

There will be two ways to watch on the day of the event:

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  2. visiting this page and clicking on the video player link that will appear above under "Live Symposium Webcast" on event day

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)
The emergence of language is routinely regarded as a major (or even the main) evolutionary transition in our species’ history. Much less attention and awe has been dispensed to the fact that humans evolved the capacity to successfully create, learn, and use a myriad of different languages which, while similar in some aspects, are radically different in many others. In this presentation I will argue that these differences have observable consequences for non-linguistic aspects of cognition and... read more

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

Carmen Amo Alonso

John Doyle

The Role of Feedback in the Parallel Architecture of Language

Eva Wittenberg

The Evolution of Syntax and Pragmatics in a Gradualist Scenario
No account of how people understand language would be complete without an account of pragmatics, the study of how people understand jokes, insinuations, novel metaphors, or subtle nudges — all the meanings beyond the literal meaning that makes our social interactions entertaining, infuriating, creative, or polite, and that pose so much of a headache to developers of artificial systems. But how did language evolve to efficiently relay so much pragmatic trickery? Here, I present a new paper that... read more

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
Highly organized social groups require well-structured and dynamic communication systems. Naked mole-rats form some of the most rigidly structured social groups in the Animal Kingdom, exhibiting eusociality, a type of highly cooperative social living characterized by a reproductive division of labor with a single breeding female, queen. Recent work from our group identified a critical role for vocal communication in the organization and maintence of naked mole-rat social groups. Using machine... read more

Gerd Gigerenzer

Common Sense and AI
Common sense is shared knowledge about people and the physical world, enabled by the biological brain. It comprises intuitive psychology, intuitive physics, and intuitive sociality. Unlike deep neural networks, common sense requires only limited experience. Human intelligence has evolved to deal with uncertainty, independent of whether big or small data are available. Complex AI algorithms, in contrast, work best in stable, well-defined situations such as chess and Go, where large amounts of... read more

Pulkit Agrawal

Learning by Experiment: Continually Evolving Machines
Evolution always presented life forms with new challenges -- due to changes in weather, terrain, competition between different organisms, and other reasons. To increase the chance of survival, instead of solely optimizing current performance, it is in agent's interest to maximize its ability to adapt to changes. Possibly this old evolutionary trait manifests itself in modern humans in their ability to adapt to new tasks and challenges quickly. Even if we consider at a lifetime of a human, the... read more

Patricia Churchland

Question & Answer Session and Closing Remarks

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

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