I’ve many times heard people refer to their intuition as something beyond themselves that helps them make decisions, for better or worse (usually for better, right?). I've many times wondered what makes some people have “better” intuition than others and how that intuition is flawed. Let’s dig a bit deeper.
AI and the human mind
Artificial Intelligence calculates an output based on programmed goals and input data (more or less representative/bias) - and so do us humans. As humans we have various amount of experience (input data), feelings and opinions (goals and bias) depending on who you are and what you've been through.
When we put ourselves in a new situation, with new decisions to make, our brains quickly calculate the probable outcome under the current circumstances, and decides what decision feels right, taking into account one’s experiences and feelings. And if those experiences are skewed (not representative), that persons goals and decision will be tilted in a direction that might feel strange to others (e.g. political extremists). That's what we call lack of perspective - or in AI terms, biased. Narrow minded in other words.
So why is this phenomenon important within the field of AI?
AI learns a million times faster, based on way more data. So when a data scientist builds an AI model based on skewed of biased data, imagine how narrow 'minded' an AI can get, and imagine the consequences of making the wrong investments, leading your company away from the truth. That's why understanding AI and how the input data affects the output is extremely important, to be able to counteract these risks and extract the great potential that AI offers.
If you want to discuss how to use AI as a competitive advantage in your business, schedule a free advisory workshop here.