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Vivienne Ming

Renowned theoretical neuroscientist and AI expert. Co-founder and CEO of Socos Labs, and chief scientist at Dionysus Digital Health and The Human Trust. Her research focuses on using AI to enhance human potential.

Top 3 podcasts with Vivienne Ming

Ranked by the Snipd community
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8 snips
Aug 6, 2025 • 48min

Vivienne Ming on hybrid collective intelligence, building cyborgs, meta-uncertainty, and the unknown infinite (AC Ep13)

Vivienne Ming, a theoretical neuroscientist and entrepreneur focused on maximizing human potential through AI, shares her captivating insights. She discusses the power of hybrid collective intelligence and the importance of diversity in fostering unique ideas. Vivienne emphasizes that AI should enhance rather than replace human abilities, particularly in education and healthcare. She highlights the significance of metacognition and preparing for an uncertain future by embracing the unknown, showcasing a vision where technology and human potential align for transformational growth.
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6 snips
Oct 15, 2024 • 1h 17min

How to Build Great Teams: What AI Is Teaching Us about Team Design and Skills Training | Vivienne Ming

Vivienne Ming, a theoretical neuroscientist and AI expert, explores the transformative potential of artificial intelligence in enhancing human skills and team dynamics. She explains how AI can predict individual success and facilitate stronger collaborations within teams. The conversation also critiques traditional measures of educational success, urging a focus on emotional intelligence and resilience. Vivienne discusses the moral implications of market dynamics shaped by technology and emphasizes the need for meaningful connections in the workplace.
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Jan 10, 2020 • 1h 17min

Socos Labs' Vivienne Ming: “I want to build better people”

Vivienne Ming, a theoretical neuroscientist and founder of Socos Labs, dives into the ethics of artificial intelligence. She critiques ethics training, arguing that tools mirror their creators' biases. Discussing the impact of automation, she highlights how jobs are changing, emphasizing that universal basic income alone won’t replace the need for meaningful work. Ming also explores the necessity of teaching people to adapt and learn, proposing a tech-wise council to guide AI policy. Her personal journey shapes her views on empathy and the future of work.

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