About this episode

The episode explores the potential of human-machine symbiosis in achieving artificial general intelligence and its implications for enterprise applications.

Controversies over artificial general intelligence (AGI) mostly come down to two big issues: whether it's possible to make computers that are as smart as humans, and whether doing so is worth the risk of AGI somehow turning against its creators. But what if AGI is not only feasible, but actually dependent on humans, and could ultimately be the ideal collaborator? The head of an AI research lab asserts that a human-machine symbiosis will be necessary if AGI is ever to attain the "embodied" intelligence of humans: the creativity, intuition and values that go beyond the computational intelligence of today's machines. In this episode, we explore how this human-machine symbiosis would work in practice, how it could change enterprise applications, and its implications for human intelligence. Featuring: Nik Kairinos, Co-founder and Chief AI Architect, Fountech AI In today's episode, we'll also cover: How the human-machine symbiosis could solve AI bias and hallucination problems. The risk of humans behaving more like machines. Why making jobs more efficient with AI could spur job creation. References: Ultimate guide to artificial intelligence in the enterprise What is artificial general…

People in this episode

Guest: Nik Kairinos

Topics covered

• artificial general intelligence
• human-machine symbiosis
• enterprise applications
• AI bias
• job creation

Keywords

• AGI
• AI collaboration
• creativity
• intuition
• computational intelligence
• AI bias
• job efficiency

Mentioned in this episode

Organizations: Fountech AI

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