How to Leverage Collective Intelligence for Transformative Tech Governance with Saffron Huang

Описание: In this episode, Saffron Huang, a technologist, researcher, and writer, shares insights on improving and leveraging humanity’s collective intelligence to govern and benefit from transformative technologies such as AI. As the Co-Director at Collective Intelligence Project (CIP), a research and policy organization, Saffron's work focuses on developing new governance models for transformative technologies, using collective intelligence capabilities to set and execute on collective priorities.

During the episode, Saffron dives deep into CIP's whitepaper on the R&D agenda for transformative tech governance, focusing on the Transformative Technology Trilemma and how CIP is overcoming it. She also shares her collective intelligence frame for understanding institutions, markets, democracy, and voting systems, with a particular focus on value elicitation and democratic technology. We discuss how AI can represent diverse groups and elicit values to move forward, as well as the impact of technology on society and the role of collective intelligence in shaping the future.

Join us to learn more about building collectively-intelligent institutions that can keep up with god-like tech and how to elicit values to create a better future.

Full show notes at: https://www.roote.co/episodes/how-to-...

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Topics:
Welcome Saffron Huang to The Rhys Show!: (00:00:00)
Intro: (00:03:40)
What got Saffron thinking about tech, society and collective intelligence: (00:04:47)
About the Collective Intelligence Project and what brought Saffron and team to start building it?: (00:09:51)
What it looks like: Is this an app?: (00:16:00)
About The transformative Technology Trilemma from CIP’s whitepaper: (00:27:35)
Saffron’s long term vision for 10/20 years around how society would operate in a more collectively intelligent ant colony way: (00:36:02)
Advice for an interdisciplinary young person: (00:42:23)
A book Saffron recommends that others might not: (00:45:19)
Overrated and underrated questions : (00:47:10)

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