explainable-ai

Vocabulary Word

Definition

'Explainable AI', or XAI, refers to machine learning models that are designed to explain their reasoning or decision-making process. Imagine a car's computer explaining to you why it chose to take a specific route.

Examples in Different Contexts

In AI development, 'explainable AI' refers to artificial intelligence systems that provide insights into their decision-making processes. An AI researcher might emphasize, 'Developing explainable AI is crucial for building trust with users and ensuring ethical standards are met.'

Practice Scenarios

Tech

Scenario:

This new prototype has been designed to make more autonomous decisions. We need a comprehensive review of its logic gates.

Response:

I believe incorporating Explainable AI into our system will elucidate its decision-making process.

Public-Policy

Scenario:

The council meeting is approaching and they are concerned about the data utilization in our new initiative. They would need a detailed explanation.

Response:

We should make the case for our Explainable AI approach as it offers better transparency in how the collected data influences decisions.