This research introduces a comprehensive framework for developing ethically-sound personas in LLM-based conversational agents across various domains.

• Addresses critical concerns including bias, manipulation, and unforeseen social consequences
• Emphasizes the need for transparent governance in AI persona design
• Proposes methodologies for more responsible implementation across security, healthcare, and other sectors
• Highlights the distinction between traditional CUI personas and more dynamic LLM-based interactions

For security professionals, this research provides essential guidance on mitigating manipulation risks and implementing appropriate guardrails when deploying conversational AI systems with distinct personas.

Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities