Debunking 4 Myths About AI Technologies

“The robots will replace humans and there will be no jobs for people”. In the distant past the unknown was a source for imagining evil powers that threaten everything that humans created. Today the new technologies serve as the new unknown and we create myths about them too. The myths have always been here to help us invent villains. But with more knowledge at our hands, we also got better at debunking them.

AI technologies are making its way in all levels of governments and enterprises today. That’s why it’s more and more important for CIOs to understand the value of AI without making wrong assumptions, based on myths. Are you ready to bust a few myths about AI with us?

Let’s start with myth #1:

AI can replace human thinking?

Artificial intelligence is called artificial for a reason. It can replace human intelligence up to a point. AI can learn how to execute tasks, but if the conditions of this task change, then AI will fail. To say that AI will replace human thinking sounds more like a Terminator movie plot and less like reality.

AI can learn things independently of human touch

AI technologies do not learn on their own. They need human control. The AI needs updates, constant integration of new knowledge, etc. That’s why when choosing an AI boosted software service, CIOs must pay close to attention to the technological state of the product they will use.

Related: Guide for finding the best inspection management software

AI makes decisions independently of humans

AI is data & rules-driven technology. Rules are defined by human experts. While the AI can independently solve simple tasks, based on pre-defined rules, sometimes there is complexity that is far beyond the capacity of AI. This is where human involvement is needed. We have a perfect example for the way AI can transfer the decision-making to a human party:

Let’s imagine that a citizen is filing an appeal for review to a government agency that is governing the field inspections. While the citizen files the data of his appeal on the front-end of the Agency’s website, on the back-end an AI is trying to categorise the complexity of the case based on the gathered data.

With a well defined set of rules, the AI would be able to set a relevant complexity score. If the case is too complex (above certain score) it will be send for review by human. If the case is simple enough for automatic processing through the AI, then it will be automatically allocated to an inspector and the inspection scheduling and execution will happen in the most optimal way.

Related: Learn more about inspection management and AI complexity score

We worked so far so good, so we don’t need AI

AI is not a magic that will instantly improve the business outcomes within an organization. Whether your company needs or does not need AI, it should be a decision based on data. In other worlds, every CIO must be able to answer why his organization does or does not need AI.

Having visibility on technologies and knowing how they can or can’t help on the strategy of the organization is important. The business needs are ever evolving and the decisions that are made today may not apply for tomorrow’s technological landscape. That’s why no matter where a government agency or an enterprise may stand in terms of adopting AI, they must have their research done.

Debunking myths is easy. Staying always alert to how technologies evolve is hard. Do you want to follow what’s new with AI and inspection software? Sign up for our newsletter.

Contact us now.