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SafetyIntermediate2016

Explainable AI

XAI

Explainable AI uses methods that help people understand why an AI produced a particular result.

Explained simply

Explainable AI uses methods that help people understand why an AI produced a particular result.

1AI result
2Explanation method
3Show key reasons
4Human review

At a glance

Category
Safety
Difficulty
Intermediate
Introduced
2016

Real example

A loan system shows that income and repayment history were the main reasons for its recommendation.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Explainable AI begin developing.

2016

Explainable AI becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Explainable AI becomes connected to newer AI systems and products.

Today

Explainable AI remains relevant in the safety area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Explainable AI.

1AI result
2Explanation method
3Show key reasons
4Human review
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