You are currently viewing Enabling Machines to Understand Human Goals with Artificial Intelligence.

Enabling Machines to Understand Human Goals with Artificial Intelligence.

  • Post published:July 7, 2021

Artificial intelligence is making machines intuitive! Imagine a time is about to come when these machines will get as creative and intelligent as humans are! That would be scary, isn’t that so?

Governments around the globe now hire AI engineers to integrate advanced AI in their machines to automate the processes of decision-making. In this piece of writing, we will discuss one aspect of how machines are reaching that level…

Excited to know how? We are to tell.

Let’s start with an example. A man carrying a load of books moves towards an unopened cabinet. Once he reaches close to it, he pushes the cabinet with the pile of books in his hands, as if he is trying to achieve something. He does it again and again. A toddler sitting nearby watching this struggle gets up and opens the door for him. This helps the man to put the books inside the cabinet. The toddler actually inferred the goal of the man. But the question arises; how did the toddler intelligently infer the man’s goal? This is what is called human social intelligence.

The artificial intelligence experts are pitching the same question, i.e., how can machines infer human goals with the help of artificial intelligence?

So before you hire AI engineers for your objectives, we suggest you go through this article first.

The Effort to Achieve It

Companies hire AI engineers that can become a part of their consistent effort in improving artificial intelligence algorithms to inculcate social intelligence into machines. By this, they can predict the goals, make, and execute plans accordingly.

AI Applications

Hire AI engineers with the goal of moving forward in this form of technology. And to further empower assistive technologies and online assistants like Alexa and Siri. By the way, who do you like, Alexa or Siri?

Anyway!

Future technologies powered by Artificial intelligence are expected to recognize our habits and observe our mistakes, in order to make decisions. If machines don’t infer the mistakes, they will wrongly conclude that the goal wasn’t desired at all.

“This ability to account for mistakes could be crucial for building machines that robustly infer and act in our interests,”

Tan Zhi-Xuan, Ph.D. student in MIT’s Department of Electrical Engineering and Computer Science (EECS)

AI Employs Bayesian Inference and BIRL

Artificial intelligence experts are working hard to combine symbolic AI planning with Bayesian Inference. But what is Bayesian Inference? To better understand this concept, first, you have to understand Bayes’ Theorem. Simply put, it is the prediction of an event based on the knowledge or experience we already have.

AI Employs Bayesian Inference and BIRL

To quote an example, if you want to assess the probability of selling ice cream on a sunny day, Bayes’ Theorem—based on prior knowledge—figures out the likelihood of selling the ice cream. Now that you have understood the Bayes’ Theorem concept, let’s learn what Bayesian Inference is.

As complicated as it may sound, but Bayesian Inference is just the process of deducing the probability of an outcome using data. This method is used frequently in AI, diagnostics, and election forecasting.

Another method artificial intelligence has started to adopt is the process called Bayesian Inverse Reinforcement Learning (BIRL). Companies which hire AI engineers know that it works by understanding the objectives with the help of behaviors and then try to plan in advance. You can gauge its accuracy from the fact that it showed a 75 percent accurate result in inferring the goals.

AI Mimicking the Sub-optimal Planning Method of Humans

If we closely assess how we plan, we will realize that we follow sub-optimal planning patterns. That means that even though human beings plan in advance, they make partial plans. Once they reach a certain stage, they then plan from that point on. Confused? Let’s take an example to comprehend this point.

AI Mimicking the Sub-optimal Planning Method of Humans

Suppose you decide to assist your friend who is cooking food. You take the next steps based on your friend’s work. If your friend is making the dough, you restrict your options based on the possibilities only to baked goods. If he then slices the apples, you immediately plan from there on that maybe your friend is making apple pie and assist accordingly.

Likewise, mega-companies hire AI engineers to make massive progress in enabling machines to follow the decision-making methods of humans. New algorithms are constantly being added in AI-powered machines to make them mimic the sub-optimal planning procedure of humans i.e providing accurate goal inferences.

Hire AI Engineers to Witness the Wonders of AI

Making machines intelligent at par with humans is a never-ending exercise you can’t get tired of performing. The pace through which companies hire AI engineers, we presume that in just minimal time these machines will start to show decision-making abilities like us.

So we suggest you to Hire AI engineers for your businesses to make your operations more efficient. In case it becomes hard for you to find a good resource, vteams is always available to help you out with it!