Rebuilding Trust with Explainable Artificial Intelligence

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By Lian Jye Su | 4Q 2019 | IN-5681

Google Putting in More Effort to Promote Explainable AI


Recently, Google launched a new Artificial Intelligence (AI) service on its Google Cloud Platform, known as Explainable AI (XAI). Still currently in beta, Explainable AI is a set of tools and frameworks that Google offers to developers to help them create Machine Learning (ML) models that are interpretable and bias-free.

This service has three main features: firstly, AI Explanations features scoring mechanism that evaluate the impact of each parameter. It focuses on quantifying the relationship between the patterns and the final model outcome. Secondly, the What-If tool is a tool that allows developers to make adjustment to individual data points, features, and optimization strategies in their models. Finally, Explainable AI also features continuous evaluation capability that provides feedback on AI model performance over time.  

Key Players of XAI


The field of XAI in general has been growing rapidly in recent years. The call for transparency and bias-free AI, or ethical AI, has intensified in many …

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