In this article, we explore how creators can be empowered to craft effective policy chatbots that cater to diverse user needs. Key takeaways include:
- Balancing Paraphrasing and Original Text: Creators should strike a balance between the AI’s paraphrasing capabilities and its use of original text, especially when discussing policy. The bot should stick closely to the exact wordings of the policy document for general questions but provide more specific explanations for specific ones.
- Explaining Technical Terms: Creators should contribute their domain expertise to explain technical terms in AI responses to ensure clarity and accessibility. Jargon-free language will make it easier for users to understand complex concepts.
- Proactive Guidance: Creators should adjust the AI’s communication style to fit deployment context and audience needs. The AI should sequentially guide users through multi-step processes, ensuring completion before advancing to the next step.
- Length Control: Creators have the choice of controlling the length of AI responses to ensure concise and direct answers. Brevity is crucial for simple questions, while longer answers are suitable for more complex queries.
- Terminology Explanations: Creators should check if the AI includes terminology explanations in its responses and contribute their expertise for clearer explanations. This will help users understand technical terms and concepts.
- Contextualized Responses: Creators should be empowered to adjust the AI’s communication style based on the deployment context and audience needs. The complexity of communication should match the context, ensuring clear and concise answers.
By following these guidelines, creators can craft policy chatbots that are both informative and user-friendly, providing a better experience for patrons in public libraries or other deployment contexts.
