Work

Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement

Year: 2024

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14571410

Author: Thotapally, Saiprapul

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6911841367

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