Its one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly ho

When putting together your Ethical and Responsible AI Framework it's important to remember that it needs to be actually implemented. Why spend all this time and resources to put together a framework j

When working on your ethical and responsible AI framework you should not overlook the roles, boards, and committees that will need to be put in place to ensure that the framework is actually implement

The pace of adoption for artificial intelligence (AI) and cognitive technologies continues unabated with widespread, worldwide, rapid adoption of AI and its various patterns. However with any transfor

Not all algorithms are explainable. So does that mean that it's ok to not provide any explanation on how your AI system got to the decision it did if you're using one of those "black box" algorithms?

In order to have people use AI systems they need to feel that they can trust these systems. That includes putting measures in place around AI Auditability, Traceability, and System Control. But what e

When building Ethical and Responsible AI systems it's important to think about AI System Transparency. These are ethical principles that focus on giving human users as much visibility into overall sys

In order to have people use AI systems they need to feel that they can trust these systems. That includes when they system provides an answer they may not want to hear. In this episode of the AI Today

If data is the heart of AI, then it should come as no surprise that data privacy plays a big role in building ethical and responsible AI systems. In this episode of the AI Today podcast hosts Kathleen

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build