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Decoding Social Biases: The Decisive Intermediation Of Artificial Intelligence And Its Own Tendency Towards Bias

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  • CLAUDIO, ALEXANDRE APARECIDO

Abstract

Technological evolution in contemporary society has driven individuals to adapt to rapid changes. With the regularity of various channels of communication and dissemination of information, the ease of access to this information is highlighted. Reality begins to be shaped to absorb information at the same speed at which it is presented. However, a fragility appears in the human capacity to make decisions, as evidenced by studies by Daniel Kahneman in the 70s, highlighting the high influence of human beings. Subsequent behavioral studies, grounded in Kahneman's proven practices, continue to reveal human frailty in decisionmaking in the face of societal views. Heuristics take control of decisions, and the quick and pluralized presentation of communication channels becomes a factor to be observed. The objective of this work was to identify the cognitive failure in decisions, driven by technological advances, and examine how current technology, especially artificial intelligence, can help mitigate this decision failure. This project qualified through a theoretical study, seeking correlated articles in the Scielo database and relating them to current news, building a theoretical foundation in the application of artificial intelligence as a method of decisive intermediation. Artificial intelligence has been identified as an entity capable of assisting in decision-making, but also as a technology capable of absorbing our visions and disseminating them

Suggested Citation

  • Claudio, Alexandre Aparecido, 2024. "Decoding Social Biases: The Decisive Intermediation Of Artificial Intelligence And Its Own Tendency Towards Bias," OSF Preprints 8ghma_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:8ghma_v1
    DOI: 10.31219/osf.io/8ghma_v1
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