At the intersection of the science of the brain and Artificial Intelligence, is something called ‘The Frame Problem’
This is a term used to describe the way we, subconsciously, sort the relevant from the irrelevant in any context, or ‘frame’.
It locates the inflection point between artificial intelligence, getting smarter by the day, and the sentient intelligence we humans can bring to bear without conscious effort.
Often, we just call it common sense.
For example, if we saw a 3-year-old child we did not know about to jump into a swimming pool, we would automatically try and stop them. By contrast, if we also saw the kids mother waiting a few feet away to catch them, we are unlikely to even register the fact that they are about to jump into the pool.
The resulting ‘frame’ which drives our response is different, although the scene our eyes ‘see’ is identical. It is the interpretation our subconscious makes that is entirely different. That difference is how our brains interpret the factual scene our eyes register on our retina.
Applying the ‘Frame’ to largely qualitative contexts when outcomes are variable, and derived from a host of drivers, frees up cognitive capacity to do other, more important things. In differing contexts or ‘frames’ the variables stimulate differing courses of action, as the value of experience and domain knowledge comes in.
You cannot learn this stuff from a book, as no book can adequately predict which set of variables will show up at any given time in differing contexts. That variability will have a profound influence on the resulting action we take.
For a marketer, understanding the ‘frame’ of their target customer or market will enable you to tweak the drivers that will lead to a desirable outcome. Equally, it will enable discrimination between drivers so that investment is not made in combinations of drivers and situations that will not suit the marketing objective.
The key question to ask yourself is: What did we miss?
