AI and the Future of Work

Evangelos Simoudis, best-selling author and Managing Director at Synapse Partners, discusses the present and future of autonomous vehicles

January 30, 2021 Dan Turchin Season 2 Episode 4
AI and the Future of Work
Evangelos Simoudis, best-selling author and Managing Director at Synapse Partners, discusses the present and future of autonomous vehicles
Chapters
AI and the Future of Work
Evangelos Simoudis, best-selling author and Managing Director at Synapse Partners, discusses the present and future of autonomous vehicles
Jan 30, 2021 Season 2 Episode 4
Dan Turchin

The future of cities, work, and transit all rely on technological advances in the field of autonomous vehicles. On this week's episode, Evangelos Simoudis, acclaimed author, futurist, and investor, discusses  the present and future of everything from robo-taxis to urban planning.

Listen and learn...
-How ethical implications and regulatory frameworks pose as big a threat to adoption of autonomous vehicles as technology
-Why a combination of knowledge-driven and ontological approaches are often required to optimize the accuracy of AI
-Why the classic trolley problem from a 1970s philosophy paper is more relevant than ever
-The pros and cons of  using neural nets to train autonomous vehicles
-Why Evangelos attributes his success to a history of systems thinking

Show Notes

The future of cities, work, and transit all rely on technological advances in the field of autonomous vehicles. On this week's episode, Evangelos Simoudis, acclaimed author, futurist, and investor, discusses  the present and future of everything from robo-taxis to urban planning.

Listen and learn...
-How ethical implications and regulatory frameworks pose as big a threat to adoption of autonomous vehicles as technology
-Why a combination of knowledge-driven and ontological approaches are often required to optimize the accuracy of AI
-Why the classic trolley problem from a 1970s philosophy paper is more relevant than ever
-The pros and cons of  using neural nets to train autonomous vehicles
-Why Evangelos attributes his success to a history of systems thinking