Fairness in Machine Learning from the Perspective of Sociology of Statistics - How Machine Learning Is Becoming Scientific by Turning Its Back on Metrological Realism

Fairness in Machine Learning from the Perspective of Sociology of Statistics - How Machine Learning Is Becoming Scientific by Turning Its Back on Metrological Realism

Explore the intersection of machine learning fairness and sociology of statistics in this thought-provoking 15-minute conference talk. Delve into how machine learning is evolving towards scientific status by moving away from metrological realism. Gain insights from author Bilel Benbouzid as he examines the complex relationship between fairness, machine learning, and statistical methodologies, offering a unique perspective on the field's progression and its implications for future developments.