Avoiding pitfalls of AI for designers: Guiding principles
SMRTR summary
AI product design faces challenges in user expectations, trust, accessibility, transparency, and bias. Guiding principles for ethical and effective AI design include responsible design, variability, mental models, co-creation, trust-building, error handling, and multimodal interaction. These principles aim to create user-centered AI systems that augment human capabilities while addressing potential risks and limitations.
SMRTR provides this summary for quick context. The original article belongs to LogRocket.
Read the original article