The Challenge of Achieving Neutrality in AI

Artificial Intelligence (AI) systems are built and trained by humans, inheriting biases present in their creators and the data they are fed. Achieving truly neutral AI is a significant challenge as it requires identifying and mitigating a wide range of biases - from the data selection to the algorithms' objectives. While efforts to improve neutrality are underway, complete neutrality is difficult due to the subjective nature of what is considered 'neutral' in various contexts.

Artificial Intelligence (AI) systems are built and trained by humans, inheriting biases present in their creators and the data they are fed. Achieving truly neutral AI is a significant challenge as it requires identifying and mitigating a wide range of biases - from the data selection to the algorithms' objectives. While efforts to improve neutrality are underway, complete neutrality is difficult due to the subjective nature of what is considered 'neutral' in various contexts.

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Bias in AI and Algorithms

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