Chair of the Panel Discussion

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Dr. K.P.N. Jayasena

Technical University Dresden, Germany

Panelists & Moderators

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Panel Overview

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The rapid advancement of large language models (LLMs) such as GPT, PaLM, and LLaMA has captured the attention of both the research community and the public. While these models are widely accessible through user-friendly interfaces and APIs, there is a growing demand for them to deliver contextually aware and personalized responses. This capability is especially critical across application domains where individuals or groups require tailored interactions based on their unique backgrounds, needs, and goals.

Generic outputs are often insufficient in addressing the nuanced expectations of users operating in personal, collaborative, or societal contexts. The future of intelligent systems lies in the ability of LLMs to adapt their responses in alignment with user preferences and situational objectives.

This panel aims to create a multidisciplinary forum that brings together LLM developers, researchers, and practitioners to explore emerging challenges and opportunities in customizing and aligning LLMs for individual, group, and societal benefit. Through open dialogue and knowledge sharing, the session will foster discussions that help shape the future development and responsible deployment of generative AI technologies.

Discussion Topics

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• Innovative techniques and algorithms for personalizing LLMs for individual user contexts.
• Advancements in aligning LLM outputs with the goals and preferences of individuals, communities, and society.
• Strategies for deploying and customizing LLMs in resource-constrained environments (e.g., mobile devices, lightweight APIs).
• Applications of LLMs in domains such as:
  • Search engines and recommender systems
  • Email and writing assistance
  • Social media and entertainment
  • Education and e-learning
  • Healthcare and remote care
  • Scientific research and the future of work
• Ethical dimensions of LLM customization, including:
  • Privacy and data protection
  • Fairness, transparency, and accountability
  • Bias mitigation and inclusive design
  • Societal impact and responsible innovation

This session encourages an open, forward-thinking conversation to shape LLMs that are not only powerful, but also aligned with human values and societal goals.

Background of Panelists

• Academic Expert in AI/LLMs
• Industry Leader / AI Architect
• Policy / Ethics Expert
• Application Domain Leader

Target Audience

• Researchers and Academics
• Students (Undergraduate to PhD)
• Industry Professionals
• Startups and Entrepreneurs
• Policy Makers and Ethicists
• Educators and EdTech Innovators
• Healthcare, Legal, and Finance Professionals
• Government and Public Sector Representatives
• IEEE Members and Conference Attendees

Event Information