Numerico, Teresa (Author)
Carocci
Physical Details: 292 pp.
Language: Italian
Big data e algoritmi costruiscono correlazioni, regolarità e quantificazioni per proporre interpretazioni dei fenomeni sociali in base ad automatismi matematici. Tuttavia è un’illusione pensare che una comprensione automatica di abitudini ed eventi possa essere oggettiva e neutrale. Le tecnologie dell’intelligenza artificiale ambiscono a definire ciò che è stato e ad anticipare il futuro, ma sono state inventate e sviluppate da esseri umani, e ne conservano perciò il genio, l’instabilità, i pregiudizi, spesso anche l’arroganza. Affidarsi ad algoritmi per prendere decisioni in contesti incerti come quelli della vita reale, dove non è possibile determinare gli obiettivi univocamente, consente a chi definisce i criteri di farlo all’ombra del dispositivo tecnico, senza doversi assumere responsabilità, anche a rischio di esiti iniqui. È quindi necessario chiedere giustizia su dati e algoritmi: chi è oggetto di processi decisionali automatici deve ottenere spiegazioni esplicite e condivise per le scelte, pubbliche o private che siano. [Abstract translated by Google Translate: This is the abstract in English… Big data and algorithms build correlations, regularities and quantifications to propose interpretations of social phenomena based on mathematical automatisms. However, it is an illusion to think that an automatic understanding of habits and events can be objective and neutral. Artificial intelligence technologies aim to define what has been and to anticipate the future, but they were invented and developed by human beings, and therefore retain their genius, instability, prejudices - and, often, even their arrogance. Relying on algorithms to make decisions in uncertain contexts such as those of real life, where it is not possible to determine the objectives univocally, allows those who define the criteria to do so "in the shadow" of the technical device, without taking responsibility, even at the risk of unfair outcomes. It is therefore necessary to ask for justice on data and algorithms: those who are the object of automatic decision-making processes must obtain explicit and shared explanations for the choices, whether public or private.]
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