Uncovering Bias
Ayodele discusses his upcoming book that explores bias in machine learning, emphasizing the need for practitioners to understand the historical context and organizational structures that contribute to disparate outcomes. He aims to equip engineers with practical tools, frameworks for ethical discussions, and data-driven strategies to advocate for accountability within their organizations. The focus is on fostering a culture of transparency and ethical decision-making in tech.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 449: Fairness in A.I. — with Ayodele Odubela
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