Algorithm designers shape fairness in decision-making by embedding biases and adhering to ethical guidelines. Data scientists influence fairness through data selection, while regulatory bodies enforce legal fairness standards. Ethical review boards and third-party auditors provide oversight beyond legalities. Users and affected individuals offer crucial feedback on fairness perceptions. The media, academic researchers, and professional associations impact fairness norms, while international standards organizations set global fairness benchmarks in algorithms.
Who Gets to Decide What's Fair? Exploring Bias in Algorithmic Decision-Making
Algorithm designers shape fairness in decision-making by embedding biases and adhering to ethical guidelines. Data scientists influence fairness through data selection, while regulatory bodies enforce legal fairness standards. Ethical review boards and third-party auditors provide oversight beyond legalities. Users and affected individuals offer crucial feedback on fairness perceptions. The media, academic researchers, and professional associations impact fairness norms, while international standards organizations set global fairness benchmarks in algorithms.
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