This paper aims to analyse the racist biases present in socio-technical networks, especially those present in algorithms, bringing it closer to ethical debates in information science, from the methodological approach of literature review. Discriminatory racial biases have proved to be another way of reinforcing inequalities that already exist in society insofar as they corroborate racism that starts to take the form of algorithmic racism. Racism is understood as a fundamental structure of society and has a fundamental role in capitalism which is now configured as data capitalism. Consequently, it reflects on the way technological tools are developed. In this way, then, software can act to deepen inequalities and its biases are masked by the belief in technological neutrality. It is concluded that, despite not being the only form of discrimination present in socio-technical networks, algorithmic racism plays an important role in maintaining racial inequalities in a feedback relationship. Finally, possible elements are presented that aim to change the order present in the algorithms. These elements aim to bring more equity and responsibility in the process of their development