Building AI Leadership Brain Trust: Sciences Literacy Underpins AI
This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results.
My prior blogs did a deep dive into data literacy, digital literacy, mathematics literacy, and statistics literacy, as all key skills to mature AI skills in an enterprise. This blog focuses on sciences literacy, and has three blogs to explore the relevance of these three disciplines to AI of 1.) computer science, 2.) complexity science and 3.) physics. It is not to say that there are not other sciences that have relevance to AI, such as health sciences, biological sciences, etc. , rather these are just the three I have chosen to focus on.
In this 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. To see the full AI Brain Trust Framework introduced in the first blog, reference here.