## TL;DR
AI is on the front lines of suicide prevention -- triaging crisis texts in seconds, powering emotional support chatbots, and detecting risk signals in social media posts. From Crisis Text Line's ML triage to Meta's proactive wellness checks, AI extends the reach of limited crisis counseling resources.

## Core Explanation
Crisis AI: (1) Triage -- NLP classifies incoming messages by risk level (active ideation, self-harm, general distress). ML uses historical crisis conversations to prioritize. Feature: language patterns (first-person pronouns increase, future tense decreases with higher risk); (2) Chatbot support -- LLM-based empathetic conversation. Provides active listening (reflection, validation), safety planning, and resource referral. Not intended to replace human counselors; (3) Proactive detection -- platform AI (Meta) flags concerning posts. Trained moderators review and offer resources; (4) Counselor training -- AI analyzes practice conversations, providing feedback on empathy, question quality, and risk assessment.

## Detailed Analysis
Crisis Text Line (2013-2025): volunteer crisis counselors + ML triage. Processed 10M+ conversations. ML trained on proprietary risk-labeled data. Active rescues: when imminent risk detected, alerts emergency services with texter location. The Trevor Project: LLM chatbot providing affirming support for LGBTQ+ youth (higher suicide risk). Counselor training AI (Crisis Contact Simulator): volunteer counselors practice with AI personas before real conversations. Meta suicide prevention: AI detects self-harm signals in posts, comments, and Facebook Live streams. Community Operations team reviews 24/7. Wellness check referrals to local authorities. Privacy concern: proactive detection without user consent. Meta offers opt-out. Ethical framework: beneficence (save lives) vs autonomy (right to privacy). Crisis organizations generally lean toward intervention when risk is imminent.