The document discusses algorithmic bias, exploring its origins, implications, and potential solutions. Key questions it addresses include the reasons for discrimination in algorithms, the nature of unfair bias, data control, and the role of free software. It highlights the challenges of opening source code and understanding algorithms due to trade secrets, technical complexity, and power imbalances.
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