Artificial and Human Intelligence

Algorithmic Bias and the Myth of Neutrality

Abstract

This article explores the differences between artificial and human intelligence, focusing on algorithmic bias and epistemological neutrality in AI systems. It argues that AI, while capable of complex tasks, lacks true understanding and adaptability inherent in human intelligence. The article discusses challenges like algorithmic bias, the limitations of AI’s knowledge processing, and the difficulty of achieving epistemological neutrality. It concludes that a multidisciplinary approach is essential to address these biases and their societal impacts.