Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust

Aybeyan Selim; İlker Ali; Cansur Cafer

doi:10.61969/jai.1955038

Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust

Abstract

This study addresses the growing challenge of explainability in Agentic Artificial Intelligence (Agentic AI), where autonomous systems operate through sequential, goal-driven decision processes rather than isolated predictions. The primary objective of this study is to develop and experimentally evaluate a behavior-centric explainability framework, termed Explainable Action Chains (XAC), for improving transparency and trust in Agentic AI systems. Existing Explainable AI (XAI) approaches are predominantly model-centric and fail to adequately capture the temporal and behavioral complexity of agentic systems. To bridge this gap, we propose Explainable Action Chains (XAC), a behavior-centric framework that represents agent decisions as temporally ordered units linking goals, states, actions, rationales, and outcomes. The framework is integrated into a modular Agentic AI architecture following the Goal–Plan–Act–Reflect cycle, enabling explanation generation as an inherent part of the decision process rather than a post-hoc addition. A prototype implementation is developed and evaluated through a comparative study between a baseline agent and an XAC-enabled agent under identical conditions. Experimental results demonstrate that XAC significantly increases perceived transparency and user trust without significantly affecting task success, while introducing only a modest increase in decision time. These findings validate the feasibility of behavior-level explainability for autonomous AI systems. The proposed framework contributes to the design of more transparent, accountable, and trustworthy Agentic AI systems, and provides a foundation for future research in explainable autonomous decision-making.

Keywords

Ethical Statement

This study adhered to rigorous academic research ethics and international standards for human-computer interaction experiments. Throughout the controlled comparative evaluation involving 50 human participants, strict protocols were maintained regarding informed consent, voluntary participation, and the complete anonymization of user data. The privacy, digital footprints, and psychological well-being of all participants were fully protected during the evaluation of transparency, trust, and cognitive load metrics, ensuring full compliance with institutional and general ethical principles in technological research.

Thanks

The authors sincerely express their gratitude to the Editor-in-Chief and the anonymous reviewers of the Journal of AI for their valuable comments and professional suggestions. Their insightful feedback greatly contributed to improving the research framework, data analysis, and overall academic quality of this manuscript.

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Details

Primary Language

English

Subjects

Autonomous Agents and Multiagent Systems, Artificial Reality

Journal Section

Research Article

Authors

Aybeyan Selim ^*
0000-0001-8285-2175
Macedonia

İlker Ali
0000-0002-2111-415X
Macedonia

Cansur Cafer
0009-0004-9186-2200
Macedonia

Publication Date

July 14, 2026

Submission Date

May 20, 2026

Acceptance Date

July 12, 2026

Published in Issue

Year 2026 Number: 10

DOI

https://doi.org/10.61969/jai.1955038

IZ

https://izlik.org/JA63DM72BZ

Cite

RIS / Bibtex

APA

Selim, A., Ali, İ., & Cafer, C. (2026). Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust. Journal of AI, 10, 187-201. https://doi.org/10.61969/jai.1955038

AMA

1.Selim A, Ali İ, Cafer C. Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust. Journal of AI. 2026;(10):187-201. doi:10.61969/jai.1955038

Chicago

Selim, Aybeyan, İlker Ali, and Cansur Cafer. 2026. “Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust”. Journal of AI, nos. 10: 187-201. https://doi.org/10.61969/jai.1955038.

EndNote

Selim A, Ali İ, Cafer C (July 1, 2026) Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust. Journal of AI 10 187–201.

IEEE

[1]A. Selim, İ. Ali, and C. Cafer, “Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust”, Journal of AI, no. 10, pp. 187–201, July 2026, doi: 10.61969/jai.1955038.

ISNAD

Selim, Aybeyan - Ali, İlker - Cafer, Cansur. “Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust”. Journal of AI. 10 (July 1, 2026): 187-201. https://doi.org/10.61969/jai.1955038.

JAMA

1.Selim A, Ali İ, Cafer C. Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust. Journal of AI. 2026;:187–201.

MLA

Selim, Aybeyan, et al. “Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust”. Journal of AI, no. 10, July 2026, pp. 187-01, doi:10.61969/jai.1955038.

Vancouver

1.Aybeyan Selim, İlker Ali, Cansur Cafer. Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust. Journal of AI. 2026 Jul. 1;(10):187-201. doi:10.61969/jai.1955038

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M. Önder GÖNCÜOĞLU

Comparative and Transnational Literature, Medieval Literature, Screen and Media Culture, History of Ideas, Ancient Philosophy, Cognitive Anthropology, Anthropology of Media, Evolutionary Psychological Studies, Documentary Film - Political Cinema, Medieval European History, Roman History, Oral History, Literature of History, Christian Studies

Şule ÖZTÜRK BIRIM

Information Systems Development Methodologies and Practice, Decision Support and Group Support Systems, Management Information Systems, Pattern Recognition, Deep Learning, Neural Networks, Machine Learning Algorithms, Data Management and Data Science, Recommender Systems, Natural Language Processing, Business Information Systems

Pijush DUTTA

Deep Learning, Machine Learning (Other), Bioinformatic Methods Development, Biological Network Analysis, Engineering, Optimization in Manufacturing

SS

Sivabalan SETTU

Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave)

Dr. Biswadip BASU MALLIK

Data Engineering and Data Science, Data Analysis, Satisfiability and Optimisation, Modelling and Simulation, Artificial Life and Complex Adaptive Systems, Biostatistics, Computational Statistics, Statistical Analysis, Statistical Data Science, Quantitative Decision Methods , Stochastic Analysis and Modelling, Applied Statistics, Experimental Mathematics, Mathematical Optimisation, Numerical Analysis, Finite Element Analysis , Operations Research İn Mathematics, Theoretical and Applied Mechanics in Mathematics, Computational Methods in Fluid Flow, Heat and Mass Transfer (Incl. Computational Fluid Dynamics)

Murat EMEÇ

Information and Computing Sciences, Information Systems, Information Systems Development Methodologies and Practice, Information Systems Organisation and Management, Business Process Management, Decision Support and Group Support Systems, Management Information Systems, Networking and Communications, Cloud Computing, Algorithms and Calculation Theory, Machine Learning, Information Security and Cryptology, Big Data, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer System Software, Computer Software, Social Media Applications and Analysis, Information and Technology Law, Business Analytics, Business Information Systems, Technology Management

Balakrishnama MANOHAR

Deep Learning, Neural Networks, Adversarial Machine Learning

AK

Anita Gautam KHANDIZOD

Pattern Recognition, Deep Learning, Machine Learning (Other), Fuzzy Computation, Natural Language Processing

Hami Onur BINGÖL

Animation, Photography, Fine Arts, Video Art

ES

Esra SÖĞÜT

Cyberphysical Systems and Internet of Things, Deep Learning, Machine Learning (Other), Information Security and Cryptology, System and Network Security, Cybersecurity and Privacy (Other), Data Mining and Knowledge Discovery, Artificial Intelligence (Other)

SC

Subrata CHATTOPADHYAY

Forensic Science and Management, Marketing Management

Alper ŞAKALAR

Interpretation in Western Classical Music, Music Technology and Recording, Interpretation in Turkish Folk Music

EA

Eslam ALJAAFIL

Curriculum Development in Education, Adult Education, Primary Education

Umut Can ÇABUK

Cyberphysical Systems and Internet of Things, Information Security and Cryptology, Cryptography, Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave)

Vijaya Kittu MANDA

Metaverse, Natural Language Processing, Planning and Decision Making, Green Economy, Banking Management, Business Administration, Sustainability Accounting and Reporting

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Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust

Explainable Action Chains in Agentic AI: Enhancing Transparency and Trust

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