We are flooded with data and information from AI. But, is this actually valuable and meaningful to us?
People seem to live in a mirage. Yes, AI is the new big thing (and the hype is justified), but unlimited access to information, which AI provides, isn't necessarily meaningful information to us.
People forget the "human" interacting with the AI. If the brain doesn't understand the information, or it's position in conjunction to it's world, then it becomes a scrapheap of irrelevant data. As the saying goes: garbage in = garbage out.
So, how can we make the information from AI more meaningful to ourselves?
By learning how to "process" and "absorb" information, so it becomes something we understand, is meaningful and valuable, and is something we can recall and leverage more effectively when navigating and engaging with the world.
This process of "absorbing information" allows us to create more meaning from the information that AI provides. But, how do we go about "absorbing information" when using AI?
A potential way would be to filter the information, through the following steps of capturing, organising, and connecting, parking it in a system that we can revisit, and where the stored information is situated among many other relevant (personal) information. By doing so, we are constantly engaging and reengaging with the information that AI provides, thus making it more meaningful, allowing us to "absorb" the information.
After doing this process, we end up with a system with relevant, meaningful and valuable (personal) information, from which AI can pull and provide other contextual information.
In a time were AI seems to produce a ton of meaningless data and information, it becomes more important than ever for individuals to learn these information skills (the ability to process and filter personal information).
