12min chapter

Machine Learning Street Talk (MLST) cover image

"AI should NOT be regulated at all!" - Prof. Pedro Domingos

Machine Learning Street Talk (MLST)

CHAPTER

Navigating AI's Complex Landscape

This chapter explores the intricate challenges surrounding AI models and their reliability, contrasting them with human cognition. It emphasizes the importance of viewing personal data as an asset and calls for meaningful data governance amidst concerns of a potential AI bubble. The discussion also highlights innovative research, particularly in neurosymbolic AI and the speaker's project TensorLogic, aiming to merge tensor algebra with logic for future advancements in artificial intelligence.

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