humanunderstandable

Humanunderstandable is an adjective referring to information, explanations, or systems that can be readily understood by humans without specialized training. It emphasizes clarity, simplicity, and accessibility, often involving plain language, intuitive representations, and logical structure.

Although the form "human-understandable" is more common in English, some texts concatenate the word as "humanunderstandable" in branding or programming contexts. The concept is widely used in discussions of explainability and transparency in technology, education, and science communication.

In artificial intelligence, humanunderstandable explanations are central to explainable artificial intelligence (XAI). Designers aim to produce models or outputs that a non-expert can interpret, such as decision trees, rule lists, visualizations, or natural language summaries, while preserving reasonable accuracy.

Challenges include trade-offs between interpretability and performance, domain-specific jargon, cognitive load, and potential oversimplification. Understandability varies with the audience’s background. Evaluation often relies on user studies and task-based assessments of comprehension, trust, and ability to use the information effectively.

See also: explainable artificial intelligence, interpretability, transparency, usability.