EXPLORING THE ROLE OF AGENTIC AI IN ENHANCING HUMAN-AI COLLABORATION

The development of Artificial Intelligence has brought in a whole new kind of intelligent system—the so-calledagentic AI—with goal-oriented behavior, autonomy, adaptability, and the capacity to make decisions. Thus, thesesystems are not tools in the classical sense anymore-they actively collaborate, changing human techno-interactioneverywhere. We look at how agentic AI transforms human-AI cooperation, with particular attention to the risingaspects of agency, co-creative processes, and mutual adaptation. Drawing from an exhaustive literature review inrecent years-including system-theoretical, psychological, and computational thoughts-the study compiles centralinteraction patterns and role distributions in human-agentic teaming. The results show agentic AI creating richercollaborations wherein systems can act with intent, negotiate their roles, regulate share, and contribute in an agreedmanner to tasks. The advent of such systems, however, also brings about difficult problems of trust calibration,liability, design ethics, and attribution of responsibility for jointly realized outcomes. Case studies in education,creative industries, enterprise applications, and multi-agent simulations illustrate both the potentials and pitfallsof these technologies. Finally, the article stands for design principles and governance frameworks toward aresponsible integration of agentic AI into collaborative ecosystems to pave the way for a more just and rewardinghuman-machine partnership.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16739657
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPLORING THE ROLE OF AGENTIC AI IN ENHANCING HUMAN-AI COLLABORATION

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

EXPLORING THE ROLE OF AGENTIC AI IN ENHANCING HUMAN-AI COLLABORATION

article en

Abstract

The development of Artificial Intelligence has brought in a whole new kind of intelligent system—the so-calledagentic AI—with goal-oriented behavior, autonomy, adaptability, and the capacity to make decisions. Thus, thesesystems are not tools in the classical sense anymore-they actively collaborate, changing human techno-interactioneverywhere. We look at how agentic AI transforms human-AI cooperation, with particular attention to the risingaspects of agency, co-creative processes, and mutual adaptation. Drawing from an exhaustive literature review inrecent years-including system-theoretical, psychological, and computational thoughts-the study compiles centralinteraction patterns and role distributions in human-agentic teaming. The results show agentic AI creating richercollaborations wherein systems can act with intent, negotiate their roles, regulate share, and contribute in an agreedmanner to tasks. The advent of such systems, however, also brings about difficult problems of trust calibration,liability, design ethics, and attribution of responsibility for jointly realized outcomes. Case studies in education,creative industries, enterprise applications, and multi-agent simulations illustrate both the potentials and pitfallsof these technologies. Finally, the article stands for design principles and governance frameworks toward aresponsible integration of agentic AI into collaborative ecosystems to pave the way for a more just and rewardinghuman-machine partnership.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 48%
Ethics and Social Impacts of AI
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.