CfP: AISyS 2026 || September 27 - October 1, 2026 - Barcelona, Spain

INVITATION:

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- AISyS 2026, The Third International Conference on AI-based Systems and Services

AISyS 2026 is scheduled to be September 27 - October 1, 2026 in Barcelona, Spain under the SoftNet 2026 umbrella.

The submission deadline is June 8, 2026.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.

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============== AISyS 2026 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


AISyS 2026, The Third International Conference on AI-based Systems and Services

General page: https://www.iaria.org/conferences2026/AISyS26.html

Submission page: https://www.iaria.org/conferences2026/SubmitAISyS26.html


Event schedule: September 27 - October 1, 2026


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]


Submission deadline: June 8, 2026


Extended versions of selected papers will be published in IARIA Journals: https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html


AISyS 2026 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2026/CfPAISyS26.html

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AISyS 2026 Tracks (topics and submission details: see CfP on the site)

Core AI-features

- AI concepts, methodology and algorithms (agents, environments, expert systems, neural networks, deep thinking)

- AI support (Big Data, Machine learning, Deep learning)

- AI stages (narrow, general, super)

- AI types (reactive machines, limited memory, theory of mind, self-awareness)

- Generative AI

- AI Uncertainty

- (Trustability, Responsibility, Uncertainty) in AI

- Transparency and interpretability of AI-based applications

- AI-based system explainability

- Responsible AI ( fairness, transparency, explainability, security, privacy)

- Ethics and personalized data

AI-based systems

- AI-based policies for designing, deploying, and maintaining complex systems

- AI for Industry 4.0/5.0

- AI-based for precision agriculture

- AI-based for precision medicine

- AI-based tracking systems

- AI-driven transportation systems

- AI-predicting emergency events in 5G and 6G systems

- AI-based cyber-systems resiliency

- AI-human-centered cybersecurity

- AI-based natural language processing systems

AI-based societal services

- Impact of AI on society and humans: services, advantages, and risks

- Governmental regulations over the AI development lifecycle

- Application/corporation certification

- Economic paradigms

- Financial services, (investment optimization, transactional fraud detection)

- Education services for society awareness

- Human-in-the-loop decisions; decide vs. assist paradigms

- Manipulations and bias in AI-based services

- Data governance and citizens data sharing

- AI-planed regulations in USA and EU

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AISyS 2026 Committee: https://www.iaria.org/conferences2026/ComAISyS26.html


IARIA Ambassadors

Steve Chan, Decision Engineering Analysis Laboratory, USA
Dirceu Cavendish, Kyushu Institute of Technology, Japan
Monika Maria Moehring, Study Centre for Blind and Disabled Students, Technische Hochschule Mittelhessen, Gie en Germany
Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Lasse Berntzen, University of South-Eastern Norway, Norway
Les Sztandera, Thomas Jefferson University, Philadelphia, USA
Andreas Rausch, TU Clausthal, Clausthal-Zellerfeld, Germany
Timothy Phan, NASA, Jet Propulsion Laboratory, USA
Manuela Vieira, CTS/ISEL/IPL, Portugal
Luigi Lavazza, Universit dell'Insubria - Varese, Italy