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#96 Prof. PEDRO DOMINGOS - There are no infinities, utility functions, neurosymbolic

Machine Learning Street Talk (MLST)

CHAPTER

Bias, Fairness, and Consciousness in AI

This chapter explores the intricate balance between bias and variance in machine learning, emphasizing the impact on model fairness and accuracy. It further examines the evolving nature of the NeurIPS conference, discussing trends in research diversity and the challenges of presenting complex ideas. The conversation culminates in a philosophical inquiry into consciousness in machines, addressing how evolving understandings of intelligence and experience apply to both human and non-human entities.

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