Coding is a small part of the entire process. The rest is Human.

All professionals of any discipline who are involved with AI at any level can not only join us they can be accredited by us.

Today’s world does not exist in a vacuum. Gone are the days of a computer scientist sitting in a corner developing software or a statistician in a corner crunching data. Today’s modelling/software/AI teams are full of interdisciplinary professionals. In an AI team, you might have a lawyer, philosopher, psychologist, sociologist, GDPR specialist, Project Manager, Statistian, Mathematician, a user of the product and even a stakeholder.

This means that were all need to know how AI is developed and used. This doesn’t mean you need to code. Coding is only part of the overall process. Coding translates the entire project into machine language. The project has to be undertaken first.

This means that all the other steps (you can see this in the pipeline diagram below) are all associated with the human aspect of development. We have to consider legal aspects, human impact, ethics, stakeholder direction and data methodology. If you are a subject matter expert, say a geographer, you also need to know the process because you will be asked to be a part of it.

Crucially, knowing the process means you have a better ability to both engage and challenge within it. It’s all about working together and doing it ethically and robustly.