Part 10/13:
Trust: Designs should prioritize transparency practices—balancing sufficient explanation with avoiding overload. For instance, a fraud detection system should present alerts with clear reasons, but only provide detailed rationale on demand.
Empathy: Interfaces should be humanized, acknowledging uncertainties, and framing outputs as collaborative support rather than directives. Small anthropomorphic cues—like conversational tone or acknowledging limitations—enhance user comfort.
Defaults and Nudges: Carefully curated default options can substantially improve adoption. For example, an AI performance review system that pre-suggests ratings and recommendations helps users accept and validate outputs more easily.