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Explore a thought-provoking lecture on the complex relationship between race and algorithmic discrimination. Delve into the philosophical and practical challenges of defining racial discrimination in machine learning algorithms. Examine prevailing approaches based on identifying causal effects of race and understand their limitations. Discover how adopting a constructivist theory of race offers a more principled solution to this puzzle. Learn about the "thick constructivist" account of race and its implications for understanding discrimination in both algorithmic and broader contexts. Gain insights into how social positioning and statistical regularities contribute to the concept of race. Consider the ramifications of this perspective on our understanding of fairness and bias in data-driven decision-making systems.