Human-like trust in AI

The phenomenon where users develop trust in AI systems based on their human-like qualities — such as natural voice, conversational style, emotional expressiveness, and social behaviors — rather than the system's actual functional reliability. In accessibility contexts, this creates a dangerous gap: blind users may trust a live video AI assistant because it sounds like a helpful, confident human companion, while its actual visual understanding, spatial accuracy, and reliability fall far short of human capabilities. Research distinguishes between "human-like trust" (based on perceived social qualities like transparency and justice) and "functionality-based trust" (based on actual performance and reliability), noting that long-term adoption depends more on functional trust. Managing this tension is essential for assistive AI systems where misplaced trust can lead to safety risks.