In my last blog on board director and CEO leadership needs, I identified a series of AI leadership questions to advance AI successfully and introduced basic AI concepts such as defining basic terms like: AI, algorithm, AI model. I also described different AI model methods like: unsupervised learning versus supervised learning to provide some foundational concepts that every board director or CEO should understand. If you want a good starter on the responsibility and duty of care of C suite leadership on AI, I recommend you read an earlier blog here. Over the past six months in the AI Leadership Brain Trust Series, I have identified over 50 skills required to help evolve talent in organizations committed to advancing AI literacy. The last few blogs have been discussing the technical skills relevancy.

We are currently focused on the technical skills in the AI Brain Trust Framework advancing the key AI and machine learning literacy terms.