What “It” Knows

Do you ever wonder why the digital world is so convenient, with endless possibilities at the touch of a finger? The idea that digital systems are becoming too “smart” is an ever-pressing matter in the present. Albeit, technology progresses at a rate that may seem hasty. The modern computer plays a significant role in everyday life; from personal to business, computers have paved the way for our current society. From the utilization of the internet, commerce, social media, etc. Its services are almost innumerable. Since the computer’s birth, the idea of technology becoming sentient has been a looming hypothesis. Artificial Intelligence is defined as a field of computer science that utilizes machines that work and react similarly to a human, which poses a certain risk-benefit relationship within our present-day society. 

The concept of modern Artificial Intelligence (AI) is not relatively new; the term was introduced in 1956 at Dartmouth College, New Hampshire. Through trial and tribulation, many brilliant minds have produced a genuinely substantial shift in the progression of Artificial Intelligence. When IBM’s Deep Blue beat grandmaster Garry Kasparov at chess in 1997, it is marked as one of its great accomplishments. Then in 2011, Watson the computer won against the reigning champions of “Jeopardy!”, Brad Rutter and Ken Jennings. Today, we see that AI is becoming part of our everyday life, and it is rapidly transforming our world as we know it. Certainly, an algorithm has interacted with your digital footprint (History) in a fashion that many people are “Dying!” to find out what you’re looking at! It exists in software such as Siri on your phone to offer recommendations from past Google searches. Its influence has begotten more than most give it credit for. The industry is continuously evolving to benefit many industries such as businesses, mathematics, science, health systems, and more. AI is crucial to companies if they want to maintain a competitive edge. Given the recent rapid progression of this movement, artificial intelligence as a whole spread to multiple agencies. 

Artificial intelligence is categorized into two types of leading classification: weak (narrow) or strong (general). Weak AI is conventional in performing simple tasks: Chess bots, Apple’s Siri, and Amazon’s Alexa. Strong AI is more complicated, and it can adapt to our cognitive abilities, complete tasks, and find solutions to problems without any human intervention, i.e., learning. Such as self-driving automobiles and surgical robots in operating rooms.

There are four different types of Artificial Intelligence: reactive machines, limited memory, the theory of mind, and self-awareness. Reactive machines are based on the pure reaction to specific situations, and it doesn’t have any memory of the past to inform about the future. The perfect example of this type is IBM’s Deep Blue. Deep Blue examines the pieces on the board, and it decides what the most optimal moves among all the possibilities. This type of AI has no concept of the real world, and it only functions based on what specific tasks it is assigned. It often behaves the same for outcomes that it had encountered before. Limited memory gathers information from past experiences (data) to decide future decisions. For example, self-driving automobiles observe their surroundings and make quick decisions based on what they perceived. The machine then decides when or not to change lanes, stop, slow down, or park. Theory of mind allows the AI to be able to understand our emotions, cognitive processes, beliefs, expectations, and interact socially with humans and their environments. This type of AI is advanced, and humans haven’t fully grasped it yet. Self-awareness is when the robots see themselves as living beings and have a consciousness. However, this kind of technology does not exist at the moment. If this level of algorithmic decisiveness is achieved, one of man’s greatest feats is complete.

How do we achieve Artificial Intelligence? There are many ways that AI is achieved, and the foremost essential concepts among them are Machine Learning, Natural Language Processing (NLP), Vision, Robotics, and Autonomous Vehicles. Machine Learning allows the AI to learn and process information through trial and error. Machine Learning enables the AI to function without programming, and it is used to process a huge amount of data over a short period of time. Machine learning is useful for capturing the vast amount of data and turn it into something digestible to humans. Deep Machine Learning is classified as the ability to learn by experiences and acquire skills that typically require human intelligence. Deep learning is used in something like fraud detection because of its ability to analyze and respond quickly to certain situations. Natural Language Processing (NLP) allows the machine to learn human languages and deals with the interactions between humans and machines. We might know this as Google Translate, Apple’s Siri, Amazon’s Alexa, Cortana, and more. Vision captures analyze our visual world through the lens. Robotics are often utilized with challenging tasks that humans could not perform consistently. Machining has become progressively pertinent to many industries, especially manufacturing, which enhances the assembly line, food services, cleaning, etc. Autonomous vehicles facilitate the driving experience by guiding the driver inside of the lane and taking control of the vehicle to avoid imminent danger. This alone garners a much higher percentage of accident prevention, which is a major turning point for better synergy while on the road.

Though there are many scrupulous scientists within the research and development of this form of technology. Some of which fear the outcomes of sentient bundles of algorithms, that simply know too much! Yet, it is too early to determine what AI can do for the progression of our species. For now, AI can provide a concise diagnosis of patients in hospitals, albeit answering questions and assisting customers online instantly. All the while, scheduling follow-up appointments, giving feedback, and supporting through the billing process as well. In business, the machine helps handle the heavy, arduous tasks without the need for a break or paying it! Interestingly, service robots are becoming a regular thing in Japan due to the shortage of workers, which coincides with a declining population. In education, AI is used in automated grading, tutoring, etc. The plethora of ways in which artificial intelligence benefits many industries is arguably a gift and a curse. Many people are afraid that robots will make the human race obsolete, and possibly lay waste to mother Earth. Something you’d read out of a Comic.. Or so you thought… As for the present-day application, robots displace specific roles. It is replacing the mundane and heavy tasks that people do not want or are too challenging to be done by hand. Though industry, education, social interaction, and many other aspects of culture and commerce are affected for the positive; There are still those who fear the possible obsolescence of the human race by the use of AI. The rest is history for humans to pave, and we as humans have no choice but to watch the advancement of this field of technology.


  1. https://medium.com/@chethankumargn/artificial-intelligence-definition-types-examples-technologies-962ea75c7b9b
  2. https://searchenterpriseai.techtarget.com/definition/AI-Artificial-Intelligence
  3. https://www.govtech.com/computing/Understanding-the-Four-Types-of-Artificial-Intelligence.html
  4. https://towardsdatascience.com/artificial-intelligence-real-or-is-it-just-an-hype-of-this-decade-fear-what-learn-history-go-game-ac4476badf1b
  5. https://www.livescience.com/49007-history-of-artificial-intelligence.html
  6. https://medium.com/@the_manifest/16-examples-of-artificial-intelligence-ai-in-your-everyday-life-655b2e6a49de
  7. https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html
  8. https://www.forbes.com/sites/forbestechcouncil/2019/01/17/the-alleged-threat-of-ai-taking-away-human-jobs-is-not-what-we-think-it-is/#37a1396384ed

Picture: https://pixabay.com/illustrations/network-gears-business-digital-4776914/


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  1. This was a thought-provoking article, and I particularly liked your reference as to how Japan is using service robots instead of workers because of their declining population. Nice job.

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