This special session delves into the transformative potential of Generative AI across various sectors, including education, healthcare, diplomacy, and creative industries. As Generative AI technologies evolve, they present unprecedented opportunities for innovation while posing significant ethical, regulatory, and societal challenges. This special session will explore the transformative impact of Large Language Models (LLMs) within the broader landscape of Generative AI. This session explores these dimensions, fostering interdisciplinary dialogue and showcasing cutting-edge research, practical applications, and discussions on responsible deployment of Generative AI solutions.
Key Topics
- Innovations in Generative AI Applications:
- Advancements in multimodal AI for healthcare include integrating medical imaging with electronic health records to enhance diagnostics and treatment planning.
- Utilisation of Generative AI in education, focusing on personalised learning experiences and ethical considerations in AI-driven teaching tools.
- Exploration of Generative AI's role in creative industries, including art, music, and literature, and its impact on traditional creative processes.
- Ethical and Governance Challenges:
- Addressing bias, fairness, and accountability in AI-generated content.
- Developing frameworks for ethical AI integration in various sectors, ensuring transparency and trustworthiness.
- Discuss global AI governance initiatives and the need for inclusive policy-making, considering diverse perspectives.
- Societal and Diplomatic Implications:
- Examining the influence of Generative AI on diplomacy and international relations, including its potential to reshape diplomatic practices.
- Assessing the societal impact of AI-driven technologies, particularly concerning job displacement and the future of work.
- Strategies for public engagement and education to promote AI literacy and responsible usage.
- Security, Privacy, and Governance:
- Strategies for safeguarding sensitive data in LLM applications.
- Establishing governance models for responsible LLM usage.
- Addressing challenges in deploying LLMs in regulated industries.
Call for Contributions:
We invite researchers, practitioners, policymakers, and industry leaders to contribute papers, case studies, and presentations that address the above topics. Submissions should offer insights into the practical applications of Generative AI, ethical considerations, and strategies for responsible implementation.
Session Format:
The session will feature keynote speeches, panel discussions, and interactive workshops designed to facilitate knowledge exchange and collaborative problem-solving.
Submission Guidelines:
- Abstracts (up to 500 words) or full papers (up to 5,000 words) should be submitted by 15 May 2025. Full (Short and Long) papers will be published in Springer Lecture Notes in Networks and Systems series, whereas abstract-based submissions will be presentations only (on-site/online) during the conference.
- All submissions will undergo a peer-review process, and selected contributors will be notified by 15 June 2025.
- Submissions should be made via EasyChair submission system.
Contact Information:
- For inquiries and further information, please contact: Email
