Description: Impartiality is a fundamental principle that involves treating all rivals or disputants equally, without favoritism or prejudice. In the context of artificial intelligence (AI), impartiality becomes a crucial aspect of decision-making processes, as algorithms can significantly influence people’s lives. Impartiality seeks to ensure that AI systems do not perpetuate existing biases or discriminate against specific groups, which is essential for fostering trust and acceptance of these technologies in society. This principle is closely related to AI ethics, where the creation of fair and equitable systems is advocated. Impartiality not only refers to the absence of biases but also to the need for the outcomes generated by AI to be fair and equitable for all users, regardless of their background, gender, race, or any other personal characteristic. In summary, impartiality in AI is an essential pillar for the responsible development of technologies that impact daily life, ensuring that all individuals are treated with fairness and respect in automated processes.
