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Mapping artificial intelligence bias

In the evolving era of generative artificial intelligence (AI), bias in AI systems remains a significant concern, leading to unfair outcomes across applications. Addressing this issue requires understanding how biases are introduced and propagated through AI models. In this paper, we present a network-based framework to map, analyze, and mitigate biases in AI systems. Our approach includes a ...

A comprehensive study on bias in artificial intelligence systems: Biased or unbiased AI, that's the question! (2022) https://doi.org/10.4018/IJIIT.309582 https://doi.org/10.4018/IJIIT.309582

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Abstract In the evolving era of generative artificial intelligence (AI), bias in AI systems remains a significant concern, leading to unfair outcomes across applications. Addressing this issue requires understanding how biases are introduced and propa-gated through AI models. In this paper, we present a network-based framework to map, analyze, and mitigate biases in AI systems. Our approach ...

A Comprehensive Study on Bias in Artificial Intelligence Systems ...

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INTRODUCTION Studies in Artificial Intelligence (AI) aim to transfer human-specific abilities such as thinking, perception, questioning, decision-making, and inference to computer systems. The adventure of AI, which officially began with John McCarthy in the 50s, started with a focus on rule- based tasks at first.

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