Call For Papers
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:
- Explainable AI and its importance
- Techniques for interpretability in AI models
- Ethical implications of explainable AI
- Explainable AI in healthcare applications
- Transparency in machine learning algorithms
- User trust and explainable AI systems
- Challenges in achieving explainability
- Explainable AI for regulatory compliance
- Case studies of explainable AI applications
- Explainable AI in financial services
- Impact of explainable AI on decision making
- Explainable AI for autonomous systems
- Methods for evaluating explainability
- Explainable AI in natural language processing
- Future directions in explainable AI research
- Explainable AI for user-centered design
- Interdisciplinary approaches to explainability
- Explainable AI in social impact projects
- Explainable AI for risk assessment
- AI transparency and accountability in practice
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.