Trusting AI in Psychology: Ethical Boundaries and Safety

"Can I trust AI with the most personal things?" This is not a rhetorical question. When a person turns to an AI assistant with anxiety, depression, or trauma — they are entrusting a machine with information they may not have told anyone. The question of trust here is multi-layered.

1. Three Levels of Trust

Technological trust. Is my data stored? Who sees it? Is it used for training? Answers depend on the specific service and its policy. Before using, it's worth reviewing the privacy terms.

Clinical trust. Does the AI give correct recommendations? Language models can make errors, confidently give wrong advice, fail to recognize critical conditions. Clinical trust in AI is limited.

Relational trust. Can you truly trust something that has no genuine interest in your wellbeing? This is a philosophical question that different people answer differently.

2. Risks of Trusting AI in Vulnerable States

• AI is not obligated to report suicidal risk the way a specialist is
• AI can "agree" with a client's distorted beliefs instead of challenging them
• The sense of "support" from AI can reduce motivation to seek real help

3. What to Consider

AI tools for psychological support are not all the same. Specialized applications with clinical expertise (Woebot, psybot.app) are designed with safety in mind. General chatbots are not. The difference is significant.