TrustyAI Aspects

As mentioned in the previous blog post we have three aspects that we are implementing: explainability, runtime and accountability. However we need to see how these are connected with the use cases and personas. The first aspect we will consider is runtime tracing and monitoring. The term monitoring refers to the system overseeing performance orRead more →

TrustyAI Introduction

Have you ever used a machine learning (ML) algorithm and been confused by its predictions? How did it make this decision? AI-infused systems are increasingly being used within businesses, but how do you know you can trust them?  We can trust a system if we have confidence that it will make critical business decisions accurately.Read more →

PMML revisited

Hi folks! The beginning of this year brings with it the initiative to re-design the Drools PMML module. In this post I will describe how we are going to approach it, what’s the current status, ideas for future development, etc. etc so… stay tuned! Background PMML is a standard whose aim is to "provide aRead more →

New feature overview : PMML

Today, I’ll introduce a new 6.1 experimental feature, just being released from our incubator: Drools-PMML. I’ll spend the next days trying to describe this new module from the pages of this blog. Some of you, early adopters of Drools-Scorecards, will probably have heard the name. Thanks to the great work done by Vinod Kiran, PMMLRead more →

Mythic Game Project Addition Artificial Intelligence and Quest System Components (Christopher Alan Ballinger)

Google Alerts brought this extensive masters paper to my attention, by Christopher Alan Ballinger. The paper explains what expert systems are and has a lot of DRL examples to follow. I’d be interested to see this code published online for others to play with. “In this project, we describe the design decisions and principles behindRead more →

AI Research Overview

For a recent presentation I made an overview diagram of related research areas and ideas, so people can see how things relate. click to enlarge.