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OPINION. Traceability in AI decisions

In 1878, Friedrich Nietzsche published the work Human, All Too Human, in which he deals with the “free spirit”, that is, one who thinks independently and seeks to question what is taken for granted. Almost 150 years later, what we are living now is the opposite: an era in which human beings try to mechanize all processes, mainly with the use of artificial intelligence, without, however,…

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Friedrich Nietzsche's concept of the "free spirit" is contrasted with the current era of technological advancement, particularly with the use of artificial intelligence (AI). While AI brings efficiency, it also poses risks, as it is created and controlled by humans with their own biases and interests. In Brazil, 80% of financial institutions already use AI to analyze data and improve their services, according to a Febraban survey.

Globally, over three-quarters of organizations are utilizing AI in financial planning, reporting, and commercial analysis, as indicated by a KPMG study. The concern is that AI's decision-making process may become opaque, making it difficult to understand and challenge the results, and users need to be aware of these risks and preserve critical analysis.

Written by urgent.news from Brazil Journal's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

Read the original at braziljournal.com →

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