AESA Principles of AI

Will begin by describing what AI is and why it is different. Duncan will then describe what types of problems AI can solve, and what data is required to solve them. We will conclude by proposing potential topics and identifying potential pitfalls.

Will focus on Natural Language Processing (NLP) and Image Recognition. After defining what these concepts are, we will show how AI solves NLP and Image Recognition problems. Modern methods for solving these problems are both very powerful, and easy to use. Many organizations with modest AI capabilities can now use these tools to solve a wide range of problems. Moreover, although they solve different problems, NLP and Image Recognition use a very similar process. This is likely to become the standard process by which sophisticated AI methods graduate from the research lab to widespread adoption.

Will begin by focusing on two questions:

Participants will be asked to give thought to both questions before attending the session. Duncan will moderate discussions on each question and offer insights from his experiences about where other organizations have started. The discussion will extend to the challenges of developing an internal AI capability, and how organizations have been able to successfully overcome these challenges.