The Control of Violence between the Machine and the Human

Predictive software tries to respond to biased human decisions. In criminal justice, its goal is to correct ¿human judicial error.¿ Currently, models using machine learning reproduce and perpetuate human biases; however, deep learning aims to remedy this with identification, translation of emotions, and specialized argumentation. Human substitution in the criminal judicial function is foreseen, as well as the transfer of state control of violation to the business market whose purpose is far from social welfare. The work intends an analysis of the state control of violence in three senses: the scope of the algorithmic prediction of the judicial decision when it comes to violence that requires identifying the human and mechanical characteristics in the debate of digital humanism; the replacement of the state function by market agencies with a globalizing vision that excludes vulnerable groups; and in the exercise of the freedom of the professional who builds, feeds, operates, and interprets the algorithmic results of AI programs. © 2024 selection and editorial matter, Manuel Cebral-Loureda, Elvira G. Rincón-Flores and Gildardo Sanchez-Ante.

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