Responsible AI is ROI: The critical role of AI observability

If you work with AI, you already know this: the world changed in 2023. When ChatGPT 3.5 dropped, it felt like we all got smacked in the face with just how powerful The trust gap in AIHere’s the reality: if AI systems aren’t trusted, they won’t be adopted.Trust is a simple human truth. If you talk to someone and consistently get incorrect, irrelevant, or unsafe responses – or if it takes too long for them to reply – you stop engaging. AI systems are no different.At Fiddler, we say “Responsible AI is ROI” because adoption follows trust. Without trust, AI initiatives stall. With it, they accelerate.Our customers are telling us loud and clear what trust means to them. They expect:Data security: Is the data secure? Is access restricted to the right people?Grounding: Are answers backed by verified sources?Data masking: Is personal information hidden or redacted when it should be?Jailbreak protection: Can we stop malicious attempts to trick the model?Toxicity detection: Are we catching harmful or offensive content?Data retention policies: Is data being stored only as long as it should be?Audit trails: Can we see who did what, when, and why?These are the building blocks of trust in AI.