Futurist: I know, i know more AURA stuff

I have talked much about training over my last four or five posts. I focused on the concept of training around and for machine intelligence. However, the overall AURA model (Aware, Understand, Refine, and Apply) applies to any training. You can use AURA to train someone how to fish. Or how to repair an iPhone. It is a way for an organization to provide effective training on new technology for existing technology. The goal of the awareness phase is to help people understand the impact of the technology in question. Or, for that matter, the change in question. You can be applied to change and the structure around change. It is not a change management process but an educational process designed to support users' perception of new functions.

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The remainder of the system requires more information. You can very quickly take the aware phase on virtually anything created. I'm going to release a video where I talk about the four phases in the next couple of weeks. But I did want to talk about the fact that this applies to anything before going further into the awareness that I published. If you intend to teach an 11-year-old child how to cook, AURA is an effective model to use in that process. Again, the goal of the aware phase is to remove doubt, remove fear, and introduce the concept or topic you are interested in teaching. The other part of awareness, particularly if you look at the awareness training here on LinkedIn, is to help the organization determine who's interested in AI. Again, I use AI in machine intelligence interchangeably, although I prefer not to call it AI when possible. However, the reality is that the organization gains value in using the model because you can determine who is interested in machine intelligence.

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If we consider the fear ground machine intelligence today, it is that I, and I, in this case, as an employee of a company, lose my job. Now, one of the things that I've looked at for many years is the reality of intellectual capital. Organizations often reward people who keep their knowledge in their heads. They become subject matter experts. That subject matter expertise is how that person maintains their value to the organization. But that isn't the value of an employee. The value of any employee is the ability to take their knowledge for the intellectual capital they have built up and solve problems. That is the dream of knowledge management systems: to create an environment where it is easy for employees to solve problems.

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Being aware allows the employees to determine their interest in or lack of interest in how machine intelligence will change the job they are currently doing. Remember that this is a way for an organization to trim its workforce of non-machine intelligence employees. That would be a huge mistake. A lot of the intellectual capital that human beings possess within an organization is tacit knowledge. My favorite example is having a copier in a common room at the location of a business. The copier stops working, and nobody can use it. However, everybody knows that Jim, or maybe it's salary, knows how to work again as tacit knowledge. It normally is written down because why would you write it down?

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So, as we delve into the awareness phase of training in the model, we begin to uncover the value proposition that organizations have for the employees working for the company. They comprehend how things work, and they grasp how the application of that thing will make the organization stronger. Like that broken copier, the tacit knowledge may be far more than the organization's explicit knowledge. Awareness helps you build an environment where people are no longer scared that AI will take their job. There will not be a statistical number in a government report on the number of people who have lost jobs to machine intelligence. Instead, you empower the employees to understand and harness the potential of machine intelligence. That is the power of awareness. The word is aware of all four words in the acronym you are carefully selected. Aware means you know of but also have seen what we are discussing.

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Based on that awareness, the employee can add value. Building a machine intelligence system to improve employees' jobs can be challenging. If the team you are building it for knows how it works, it will be easier. If the employees understand what machine intelligence can do, it effectively allows the organization to deploy the machine intelligence system and have greater use and value. It will fix problems the employees have known about for a long time. Some of the tacit knowledge in the organization is how to get around the system that works differently than the company thinks adults. This tacit knowledge, often overlooked, is a significant asset for many corporate employees. That knowledge of how to get around a system that the company has deployed can effectively be a massive amount of information. Your tacit knowledge is valuable and crucial in successfully implementing machine intelligence in the organization.

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So, as your organization considers how to train, remove fear, or identify those in the company who are interested in and understand machine intelligence, effective awareness is a tool you can use. The other three phases, understanding, refining, and applying, are pretty straightforward once you are aware. They need to customize it for your specific organization, which is something that the very process of awareness will help you gather and build. Machine intelligence will begin supporting and augmenting human employees of many different jobs. I have shared these beliefs on LinkedIn and my other article posts for a long time. Augmentation is the future power of machine intelligence. You are augmenting the very humans that work for the company. Suppose you're going to build that augmentation system. In that case, it's best to have employees who understand how things work, are interested in machine intelligence, and help guide the eventual toolsets you adopt and embrace. Your role in this process is crucial, and your understanding and involvement in machine intelligence will shape its future.