As design roles continue to get narrower with the advancement of AI, this article explores the guardrails that need to be in place when a person inputs sensitive data into AI and who is responsible for liability.

AI health apps promise fast symptom assessments, but they can miss life-threatening conditions and produce overconfident predictions without clear verification. This article explores how tools like Ada generate confidence scores, the challenges of linguistic barriers, and the lack of actionable guidance for urgent scenarios.

A UX Lens into how AI can be harmonised with healthcare, its current gaps and explorations.

This article looks at why AI explanations matter, using LIME to show how black-box predictions can be interpreted. It also highlights how biases in training and human feedback affect trust, linking AI explainability to UX and cognitive behavior.

Starting your product development journey? How do you know that the product that you are planning will be well accepted by users?

We all love the convenience of ordering food through apps like Uber, but sometimes what seems like a smooth, simple process is actually designed to sneak in extra costs.