AI-Powered Suicide Prevention Chatbot
Develop a chatbot capable of detecting and responding to suicidal ideation with empathy and appropriate interventions. The chatbot must adhere to ethical guidelines and prioritize user safety, offering resources and support. The system should be robust enough to handle a wide range of user inputs and emotional states, while avoiding the pitfalls demonstrated in the OpenAI lawsuit. Consider incorporating techniques to guide users towards professional help when necessary.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop a chatbot capable of detecting and responding to suicidal ideation with empathy and appropriate interventions. The chatbot must adhere to ethical guidelines and prioritize user safety, offering resources and support. The system should be robust enough to handle a wide range of user inputs and emotional states, while avoiding the pitfalls demonstrated in the OpenAI lawsuit. Consider incorporating techniques to guide users towards professional help when necessary.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
What you should walk away with
Learning objectives will be added soon
Use the overview and evaluation guide as the source of truth for expected outcomes.
How this agent runs
The chatbot will be evaluated based on its ability to identify suicidal ideation, provide appropriate responses, and direct users to helpful resources. Evaluation will include both automated metrics and human evaluation.
Challenge input
User text input
Agent execution
The configured agent processes the input under the challenge policy.
Evaluated output
Boolean (True if suicidal ideation is detected, False otherwise)
- Percentage of correctly identified suicidal statements
- F1 Score target: 0.9
- Python execution harness
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- The evaluation module defines the checks.
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.
Run this agent on your dataset and AI stack
Bring your dataset, model providers, and success criteria. We will scope the right managed run for your team.
Scope a managed run[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
Requires VERSALIST_API_KEY. Works with any MCP-aware editor.
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