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Chai empowers users to create and interact with customized chatbots, offeringunique and engaging experiences. Despite the exciting prospects, the workrecognizes the inherent challenges of a commitment to modern safety standards.Therefore, this paper presents the integrated AI safety principles into Chai toprioritize user safety, data protection, and ethical technology use. The paperspecifically explores the multidimensional domain of AI safety research,demonstrating its application in Chai's conversational chatbot platform. Itpresents Chai's AI safety principles, informed by well-established AI researchcentres and adapted for chat AI. This work proposes the following safetyframework: Content Safeguarding; Stability and Robustness; and OperationalTransparency and Traceability. The subsequent implementation of theseprinciples is outlined, followed by an experimental analysis of Chai's AIsafety framework's real-world impact. We emphasise the significance ofconscientious application of AI safety principles and robust safety measures.The successful implementation of the safe AI framework in Chai indicates thepracticality of mitigating potential risks for responsible and ethical use ofAI technologies. The ultimate vision is a transformative AI tool fosteringprogress and innovation while prioritizing user safety and ethical standards.

The Chai Platform's AI Safety Framework