The 2024 International Conference on Responsible, Generative and Explainable AI (ResGenXAI) welcomes papers on cutting-edge topics. Explore advances in Generative AI models like Generative Adversarial Networks (GANs), Variational Auto-Encoders (VAEs) and Transformers. Investigate Explainable AI, focusing on interpretable ML models, potential biases, explanation methods, and evaluation benchmarks. Delve into Responsible AI, addressing bias mitigation, ethical considerations, and responsible practices. Explore Human-AI Collaboration with human-centric approaches and frameworks enhancing user understanding. Examine AI for Social Good in healthcare, education, and sustainability. Consider Transparency and Accountability tools, regulatory considerations, and interdisciplinary applications. Explore Security and Privacy in AI, covering implications of generative models and privacy-preserving techniques. Share Case Studies and Implementations, showcasing real-world applications.

International Conference on Responsible, Generative and Explainable AI (ResGenXAI) is technically sponsored by IEEE. The proceedings  of this conference are likely to be indexed in  renowned databases such as Scopus, Web of Science (WoS), Google Scholar, and many others.