Safety

Technology often arrives as convenience before it reveals its risks. AI systems promise efficiency, automation, and insight — but without safeguards, those same systems can amplify errors, misinformation, or unintended harm.

Safety asks uncomfortable questions: What happens when systems fail? Who is affected first? What happens at scale? These are not hypothetical concerns, but real scenarios that emerge when systems are trusted without examination.

Science fiction often imagines dark futures shaped by unchecked technology. While those stories are exaggerated, they serve as warnings — reminding us that safety is not about fear, but about foresight.

Responsible AI design treats safety as foundational. Systems must be tested, challenged, and stress-tested long before they are widely relied upon. Safety is not about limiting innovation — it is about ensuring innovation does not outpace responsibility.