If the Difference Principle Won't Make a Real Difference in Algorithmic Fairness, What Will?: Response to 'Rawlsian Algorithmic Fairness and a Missing Aggregation Property of the Difference Principle'.

MACHINE learning; BASIC income; JUSTICE; POLITICAL philosophy; CRIMINAL law reform

The article "If the Difference Principle Won't Make a Real Difference in Algorithmic Fairness, What Will?: Response to 'Rawlsian Algorithmic Fairness and a Missing Aggregation Property of the Difference Principle'" examines the challenges of applying John Rawls' difference principle to algorithmic fairness. The authors argue that implementing the principle at a local level is not enough to ensure fairness at a societal level. They provide examples and simulations to support their argument and suggest that addressing inequality through measures like taxing billionaires or implementing universal basic income may be more effective. The article also raises questions about the practicality of Rawlsian principles and proposes alternative policies that focus on broader patterns of distributional justice. It explores different perspectives on justice and responsibility, emphasizing the need for collective action to bring about meaningful change. The author critiques the limitations of Rawlsian political philosophy and calls for a more comprehensive approach to algorithmic fairness. [Extracted from the article]

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