Articles, Cognitive Intelligence, Deep Learning

Artificial Intelligence & Its Impact on Human Behavior In 2019

*This post was guest-authored by Vikash Kumar, Manager at TatvaSoft.

Currently, we reside in an era where creating new Artificial Intelligence models using as little human grunt work as possible is not at all a surprise. The actively changing and growing technology focuses on increasing success chances. Well, let’s find out how AI has the potential to impact human behavior.

But before we proceed further, let us understand the term “AI.” Think of Siri or self-driving cars, one of the best and most common examples used to describe AI. We all know what’s artificial, but the word intelligence used here certainly means the ability to acquire as well as apply a different set of a problem- solving skills/ knowledge under various situations. However, most of you often portray AI in the form of robots featuring human-characteristics, all thanks to science fiction. In fact, AI can feature anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.

Speaking about today’s tech, artificial intelligence has the capability to imitate human intelligence in such a way that it could perform a wide range of tasks starting from thinking to learning, reasoning, problem-solving and much more! Let’s take an example of the robotic cars used these days. The highly progressing models have the potential to control traffic, minimize and maximize the speed on their own, convert self-driving cars to Siri and what not! In fact, these innovations don’t require a driver to control or supervise them. Apart from this, the robotic technology seems to be expanding across a wide range of sectors including industries, hospitals, schools, military, music, gaming, quantum science and many others. If given an opportunity, robotics can understand, learn, perceive or complete human activities on its own. In short, Artificial Intelligence has the potential to mimic human character or behavior. But at a certain point, the technology may fail out due to differences in human brains and wired machines.

Types of Artificial Intelligence

  1. Reactive Machines – Have you ever wondered what is IBM’s Deep Blue? It is a cognitive thinking machine which has the track record of defeating Garry Kasparov, Russian chess grandmaster in a one-on-one competition in the year 1990. The machine successfully analyzes and predicts all of its own possible moves as well as those of its opponent. It is known for executing the most strategic and calculated moves.
  2. Theory of Mind – Well, this category, in particular, hasn’t been explored much. At this point in time, one needs to dig deep by integrating human tendencies. You need to think and understand that others have their own beliefs, thoughts, intentions, and desires which will definitely have a significant impact on their decisions and actions.
  3. Limited Memory – Here analyzing and studying past experiences help in predicting what the future holds. Imagine the RAM in your computer that stores temporary data and makes predictions on that basis.
  4. Self-Aware AI – One of the most advanced forms of AI. As the name suggests, systems are developed in such a way that they carry self-awareness.

Let’s Dig Deeper

The nature of human behavior is complex, sometimes illogical, and often difficult to understand, do you agree? Yes, I am talking about all those physical actions and observable emotions that can never clear out the whys and the hows of our behavior. Of course, it is because our reactions change after getting influenced by culture, thinking, and upbringing. This is where psychology science comes into play. Here, tons and tons of data are gathered from various groups to get more insights into human behavior. If it were for humans to process that data, it would result in errors and wrong conclusions. But with the emergence of AI, gaining accurate insights has become child’s play. For instance, StressSense is used to track the time when people are more stressed and help companies to avoid such anxious situations. Another tool such as MyBehaviour analyses physical activity patterns to aid people to be in shape while MoodRhythm allows patients with bipolar disorder monitor sleep and social interactions to maintain balanced mood and energy levels.

It may interest you to know that AI can turn out to be very effective when used as a marketing tool. In 2019, we are dealing with real-world limitations where it becomes pretty hard to identify how far communications can track human behavior. Fortunately, we have predictive modeling of AI that can get rapid insights. An AI model could learn what the best signs and signals are and learn what interventions are best applied for a particular type of person in any situation.

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