Machine Learning Street Talk (MLST) cover image

CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

Machine Learning Street Talk (MLST)

00:00

The Complexity of Learning and AI Ethics

This chapter reflects on the nature of learning, emphasizing the role of lived experiences and lifelong brain plasticity, while contrasting human learning with machine learning's limitations. It explores the ethical implications of AI technology, particularly in light of societal trust, agency, and moral responsibility. The discussion critiques the Silicon Valley perspective on technological advancement and highlights the need for a balanced relationship between humanity and nature.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app