The International Conference “Explainable AI: Bridging Concepts, Applications, and Future Challenges” aims to provide a comprehensive platform for exploring the multifaceted domain of explainable AI. This event addresses the critical need for transparency and interpretability in AI systems, essential for fostering trust and accountability in machine learning models. The conference aims to bridge theoretical concepts with practical applications, highlighting advancements in methodologies that make AI decisions more understandable to end-users. Through a series of keynote speeches, technical sessions, and panel discussions, the conference delves into current challenges such as model complexity, bias, and the ethical implications of AI. Additionally, it paves the way for future research by exploring emerging trends and innovative solutions that could drive the next generation of explainable AI technologies. This gathering of experts, researchers, and practitioners provides a crucial opportunity to shape the future of AI by ensuring that its capabilities are both powerful and comprehensible.

The imperative for transparent and interpretable AI systems has never been more pronounced in the realm of management. The International Conference on “Explainable AI: Bridging Concepts, Applications, and Future Challenges” offers a timely platform to address this critical need. Decision making, a cornerstone of management, is increasingly influenced by AI-driven insights. However, the complexity of these models often creates a “black box” phenomenon, hindering trust and accountability. This conference aims to demystify this complexity by fostering a dialogue between theoretical underpinnings and practical applications of explainable AI. By scrutinizing current challenges such as model bias and ethical implications, the conference positions itself as a catalyst for responsible AI adoption. It underscores the significance of explainable AI in mitigating risks and ensuring that AI aligns with organizational values. Furthermore, the exploration of emerging trends and innovative solutions is essential for shaping the future of management. Explainable AI has the potential to revolutionize decision-making processes by providing managers with actionable insights and fostering a data-driven culture built on trust and transparency. This conference will serve as a pivotal moment for the management community to grapple with the complexities of AI and to emerge as leaders in harnessing its potential while safeguarding its ethical implications.

1. Cross Domain Application of AI
2. AI in Finance and Compliance
3. AI in Risk Assessment and Decision Support
4. Human Centric Decision in AI Systems
5. AI in Supply Chain Management
6. AI in Customer Services
7. The Evolution of AI Techniques
8. Ethical Considerations in AI

To be Announced