Neurotechnology and the Recovering Brain
1:14:50Why Your Brain Hates Losing
1:27:55The Beautiful Engineering of Us: From Neurons to Collective Minds
1:06:40Crossroads Democracy — A Panel Discussion
1:34:49Transmission Versus Truth: What Will It Take to Make an Al as Smart as a 4-Year-Old?
1:27:20Machining the Ghost: Ideating in the Age of AI
1:29:15Whom Do We Trust? How AI Is (Re)Shaping Our Interactions Today
1:28:51Climate Change and Contagion: Complex Crises Past and Present
1:33:25Computing, Life, and Intelligence
1:23:05Making Sense of Chaos: A Better Economics for a Better World
1:38:21What is Lyfe? Towards a Biology of Context & Complexity
1:11:46Just Machine Learning
1:13:25Animals in Translation: A Conversation
1:28:56Comrades, Let's Optimize! The Surprising Rebirth of the Planned Economy
1:01:26The Future of Artificial Intelligence
1:27:49Taming the Swarm: Towards Collective Artificial Intelligence
1:22:48How the Brain Makes You: Collective Intelligence and Computation by Neural Circuits
1:34:37The Future of Physics
1:22:21AI: Oppression or Innovation?
1:28:36Harnessing Social Capital to Enhance Collective Welfare
1:39:02The Story of Sync
1:35:51Harnessing Social Capital to Enhance Collective Welfare
This panel discusses the nature, origins, and implications of social and income inequality through the lens of collective computation. It explores how understanding these dynamics might lead to improvements in collective and individual welfare.
Jessica Flack. Santa Fe Institute Nicholas Christakis. Yale Matthew O. Jackson. Stanford, Santa Fe Institute Inequality — in income or social position — is a central issue among social scientists, policymakers, the media, and the public. In this panel discussion, Santa Fe Institute Professor Jessica Flack, whose expertise is collective computation, will talk with Nicholas Christakis, a sociologist and physician at Yale, and Matt Jackson, an economist at Stanford. The trio will discuss whether income and other social forms of inequality are intrinsically problematic, what gives rise to them, and how we might harness this understanding to improve collective and individual welfare. These are challenging questions with many confounds and entangled variables, but, for the first time in human history, we are in a position to answer them. Thanks to social media and innovations in large-scale field experiments, we have quantitative data on human social networks, including the quality, diversity, and frequency of our interactions with others, and how our networks change as society and the environment changes. This now allows us to do rigorous experiments on social networks. We can then address how the social capital reflected in these networks influences human welfare, as well as explore the relative importance of social versus financial capital to the quality of our lives. Learn more at Follow us on social media: Subscribe to SFI's official podcasts:
