
What Is General AI? — updated 2025 | IxDF - The Interaction …
2 days ago · Artificial General Intelligence (AGI) or General AI represents a theoretical form of AI that can solve any task using human-like cognitive abilities.
What Is Narrow AI? — updated 2025 | IxDF
3 days ago · What is Narrow AI? Narrow AI, sometimes called Weak AI, encompasses artificial intelligence systems purpose-built for specific, well-defined tasks or applications. These AI …
What is Artificial Intelligence (AI)? — updated 2025 | IxDF
Artificial Intelligence (AI) refers to computer systems that can perform tasks that typically require human intelligence.
What is Human-AI Interaction (HAX)? — updated 2025
3 days ago · Human-AI interaction studies and designs how humans and artificial intelligence (AI) systems communicate and collaborate.
What Is Generative AI? — updated 2025 | IxDF
3 days ago · Generative AI refers to a class of algorithms and models designed to autonomously produce content, such as text, images, music, or other forms of data.
What Is Prompt Engineering in Design? — updated 2025 | IxDF
Oct 25, 2025 · What is Prompt Engineering? Prompt engineering is the process of creating effective prompts for artificial intelligence (AI) systems. A prompt in AI is a specific instruction …
How to Supercharge Your Design Workflow with AI | IxDF
They’re also an example of Narrow AI, not General AI, though, and that’s despite their advanced capabilities. Collaborators can recommend thematic analysis tags, and they can generate …
Conversations: UX / UI Design in General | IxDF
UX / UI Design in General is a place for broad topics in design. Share and talk about trends, important concepts, what it means to be a UX designer, and much more.
What Are AI Prompts in Design? | IxDF
5 days ago · AI prompts are instructions or commands given to an AI system. These prompts guide the AI to generate outputs that align with the user' s intentions.
Are AI-Generated Synthetic Users Replacing Personas? What UX …
The AI helped them understand general feelings about topics. But even here, responses felt "one-dimensional" compared to the rich, contextual insights from real participants.