unwilling-turquoise•16mo ago
How to train the chatbot against dubious requests?
How can I train the chatbot against dubious enquiries (e.g. about politics or religion) or red teaming?
1 Reply
To train your chatbot to handle dubious requests, such as those about politics or religion, or to prepare it for red teaming, you can follow these steps:
1. Define Sensitive Topics
Identify and list the topics that you consider sensitive or inappropriate for your chatbot to handle. This could include politics, religion, personal data, etc.
2. Create Handling Strategies
Develop strategies for how your chatbot should respond to these topics. Common strategies include:
- Deflection: Politely redirecting the conversation to a different topic.
- Refusal: Clearly stating that the chatbot cannot discuss the topic.
- Escalation: Forwarding the conversation to a human agent if necessary.
3. Implement Intent Classification
Use intent classification to detect when a user is asking about a sensitive topic. You can use Voiceflow's NLU (Natural Language Understanding) capabilities to train your chatbot to recognize these intents.
4. Add No Reply Response
In Voiceflow, you can add a "No Reply Response" to designate a timeout period for interactions that fall under sensitive topics. This can help in managing conversations that the chatbot should not engage in.
5. Test and Refine
Regularly test your chatbot with various scenarios to ensure it handles sensitive topics as intended. Use red teaming techniques to simulate attacks and improve your chatbot's robustness.
6. Update Regularly
Keep your chatbot's training data updated to handle new types of sensitive inquiries effectively.
For more detailed guidance, you can refer to the following resources:
- Voiceflow NLU
- No Reply Response
By following these steps, you can ensure that your chatbot is well-prepared to handle dubious requests appropriately.