Hybrid Conferencee

International Conference on Explainable AI and Data Science (ICEAIDS - 26)

24th - 25th June 2026 | Ottawa, Canada
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Ottawa. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Ottawa event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Ottawa conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ottawa, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Ottawa."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEAIDS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Data Science,Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Explainable AI and its importance
02
Techniques for interpretability in AI models
03
Ethical implications of explainable AI
04
Explainable AI in healthcare applications
05
Transparency in machine learning algorithms
06
User trust and explainable AI systems
07
Challenges in achieving explainability
08
Explainable AI for regulatory compliance
09
Case studies of explainable AI applications
10
Explainable AI in financial services
11
Impact of explainable AI on decision making
12
Explainable AI for autonomous systems
13
Methods for evaluating explainability
14
Explainable AI in natural language processing
15
Future directions in explainable AI research
16
Explainable AI for user-centered design
17
Interdisciplinary approaches to explainability
18
Explainable AI in social impact projects
19
Explainable AI for risk assessment
20
AI transparency and accountability in practice