Description: Neutrality in AI ethics refers to the principle that artificial intelligence systems should not favor one group over another, thereby ensuring fair and equitable treatment for all users. This concept is fundamental to the development of technologies that impact people’s lives, as it seeks to avoid the perpetuation of existing biases in society. Neutrality implies that algorithms and AI models must be designed and trained in a way that does not reflect or amplify racial, gender, socioeconomic, or any other kind of prejudice. The importance of neutrality lies in its ability to foster trust in emerging technologies, ensuring that all individuals have access to the same benefits and opportunities. Furthermore, neutrality in AI is crucial for creating policies and regulations that protect users from automated decisions that could be unfair or discriminatory. In an increasingly digitized world, where decisions made by AI systems can influence a wide range of areas such as job hiring, access to financial services, and criminal justice, neutrality becomes an essential pillar for ethics in artificial intelligence.