Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement

This article explores the probabilistic foundations of Generative AI systems, their inherent limitations, and the risks they pose, such as bias and hallucinations. It also examines the roles of Human-in-the-Loop (HITL) systems and agentic models in mitigating these risks while enhancing automation capabilities. By combining case studies, socio-technical insights, and actionable strategies, this work offers a framework for responsible engagement with AI.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-29
DOI
https://doi.org/10.5281/zenodo.14571410
Primary Topic
Immune Response and Inflammation
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement

Zenodo (CERN European Organization for Nuclear Research)
Immune Response and Inflammation
article

Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement

article en

Abstract

This article explores the probabilistic foundations of Generative AI systems, their inherent limitations, and the risks they pose, such as bias and hallucinations. It also examines the roles of Human-in-the-Loop (HITL) systems and agentic models in mitigating these risks while enhancing automation capabilities. By combining case studies, socio-technical insights, and actionable strategies, this work offers a framework for responsible engagement with AI.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Immune Response and Inflammation
DOIOpen Access PDFOpenAlex
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Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS