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International Conference on Explainable AI in Engineering

5–6 Dec 2026 Prague, Czech Republic Standard / Physical Participation
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$120
virtual · $180 in person
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Conference Programme and Participation Policy

Depending on accepted submissions and scheduling needs, the Organiser may combine compatible research themes across disciplines within an interdisciplinary or multidisciplinary programme that supports knowledge sharing, networking, and professional cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on the integration of explainable AI techniques in predictive maintenance applications within engineering contexts. Participants will explore methodologies that enhance model interpretability and transparency in maintenance decision-making processes.
This session will delve into the development and application of interpretable models in supervised learning frameworks. Researchers will present novel approaches that balance model accuracy with the need for transparency and understanding.
This track addresses the challenges and innovations in unsupervised learning techniques for anomaly detection in engineering systems. Discussions will center on the interpretability of models and their practical implications in real-world scenarios.
This session will explore various methods for assessing feature importance in machine learning models. Participants will discuss the implications of these techniques on model evaluation and their role in enhancing explainability.
This track focuses on the latest frameworks and methodologies developed to enhance the interpretability of deep learning models. Researchers will share insights on bridging the gap between complex model architectures and human comprehension.
This session will investigate the role of human-in-the-loop approaches in the development of explainable AI systems. Emphasis will be placed on how human feedback can improve model transparency and trustworthiness.
This track will examine the application of explainable AI methodologies in the context of industrial IoT. Participants will discuss case studies that highlight the importance of model interpretability in enhancing operational efficiency and safety.
This session will explore the integration of explainable AI in decision support systems across various engineering domains. The focus will be on how interpretability can enhance user trust and facilitate better decision-making.
This track will address the critical challenges surrounding AI trustworthiness and model transparency in engineering applications. Participants will engage in discussions about ethical considerations and the societal implications of AI deployment.
This session will focus on innovative feature extraction techniques that enhance the interpretability of machine learning models. Researchers will present their findings on how effective feature selection contributes to model clarity and performance.
This track will showcase case studies that highlight the practical applications of explainable predictive modeling in engineering. Participants will analyze real-world examples where interpretability has led to improved outcomes and insights.

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