Artificial Intelligence and Anthropogeny

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Summary:
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	Welcome
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
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
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