The Agentic AI Framework: Enabling Autonomous Intelligence

Agentic AI marks a significant advancement in artificial intelligence, enabling systems to make autonomous decisions and adapt to changing circumstances. This paper provides a comprehensive overview of Agentic AI, exploring its underlying architecture, key functionalities, and diverse applications. It contrasts Agentic AI with traditional AI by highlighting its capacity for independent operation, goal setting, and environmental adaptation without continuous human oversight. The article examines real-world implementations across various sectors, such as robotics, healthcare, autonomous vehicles, and finance, while also discussing the technical and ethical challenges associated with autonomous systems. Specifically, it addresses crucial issues like accountability, bias reduction, and the interaction between humans and AI, offering insights into the potential impact on future technologies. The research indicates that the development of Agentic AI requires a careful balance between technological progress and ethical considerations, emphasizing the need for strong frameworks to ensure responsible deployment. 4 This article adds to the expanding body of knowledge on autonomous AI and offers a basis for understanding its influence on the future of technology.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-04
DOI
https://doi.org/10.5281/zenodo.15029752
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Agentic AI Framework: Enabling Autonomous Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Alzheimer's disease research and treatments
article

The Agentic AI Framework: Enabling Autonomous Intelligence

article en

Abstract

Agentic AI marks a significant advancement in artificial intelligence, enabling systems to make autonomous decisions and adapt to changing circumstances. This paper provides a comprehensive overview of Agentic AI, exploring its underlying architecture, key functionalities, and diverse applications. It contrasts Agentic AI with traditional AI by highlighting its capacity for independent operation, goal setting, and environmental adaptation without continuous human oversight. The article examines real-world implementations across various sectors, such as robotics, healthcare, autonomous vehicles, and finance, while also discussing the technical and ethical challenges associated with autonomous systems. Specifically, it addresses crucial issues like accountability, bias reduction, and the interaction between humans and AI, offering insights into the potential impact on future technologies. The research indicates that the development of Agentic AI requires a careful balance between technological progress and ethical considerations, emphasizing the need for strong frameworks to ensure responsible deployment. 4 This article adds to the expanding body of knowledge on autonomous AI and offers a basis for understanding its influence on the future of technology.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Agentic AI Framework: Enabling Autonomous Intelligence · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS