
A Deep Dive into Artificial Intelligence:
What is Artificial Intelligence (AI)? According to NASA, AI “refers to computer systems that can perform complex tasks normally done by human-reason, decision making, creating, etc.” NASA states that there is “no single, simple definition” regarding AI and that is because it is changing and growing constantly.
As I speak with people on the topic, I tend to receive two responses: one of fear and one of reckless abandonment. There are those who are extremely concerned about AI and what it will do to us as human beings. Then, there are those who can’t wait to open Pandora’s Box and see all the wonderful benefits waiting to be used.
In the little research I have done about AI, I have discovered that, in general, there are three fundamental components of all AI Systems. There is Data, which is how a system learns and makes decisions. Without large quantities of data, there are no decisions. There are Algorithms. These are sets of rules systems use to process these large quantities of data. Then, there is Computing Power. AI systems need computing resources to process these large quantities of data through their complex algorithms. As you can imagine, there are needs for large quantities of power to run these AI systems.
As far as the history of AI, the groundwork for the idea began in the early 1900s, but the largest advances are recent. Alan Turing began exploring artificial networks in the 1950s; he published a paper entitled, Computer Machinery and Intelligence, in which he proposed a test of machine intelligence. He called this test the Imitation Game, which eventually became the Turing Test. This was a watershed moment as AL technology began to develop rapidly after this point.
Computer development began with increasing processing speeds in the 70s and 80s, producing faster, cheaper more accessible computers. During this time, the very first AI language was created, but computers were still too weak to demonstrate any kind of intelligence. The 80s were a time of growth and of increased interest in AI, and this was due, in part, to breakthroughs in research, which increased funding opportunities. The 90s produced the first functioning AI systems: the first AI to defeat a world champion chess player, AI robots, AI self-cleaning vacuums, and AI speech recognition software. In the late 1990s and 2000s, there were significant advances in AI. Automation and machine learning were used to solve problems in academia as well as in the real world, which brings us today.
There are AI systems all around us and their use continues to increase daily. Ai is used in law, medicine, education, engineering, science and more. There are enormous benefits to its use. It can solve problems and diagnosis diseases, but like anything else, with the benefits come the detriments. There are detriments, even though I have spoken to several who see none. I have my own concerns, but for today I will just address one: entropy.
AI systems are created with entropy in mind, but it is the entropy found in thermodynamics. The second law of thermodynamics states that the entropy of an isolated system can only increase or remain constant; it never decreases. As great as AI is, it is still a created system, and it still must deal with entropy. I tend to look at entropy and its relationship with AI from the perspective of physics, which indicates that the tendency of systems is to move towards a greater state of disorder and randomness and not away from it. If I am right to look at entropy’s relationship with AI this way, what does it say about AI’s future? Is it endless? Is it immune from entropy?
As AI becomes more a part of its own data, and by data, I mean that content which it creates that is added to the data to which it has access, what will happen to its state of entropy? Will it decrease or increase? I believe it will most certainly increase. I do see, in the distant future, an ancestral relationship with its data when its data base moves past a 50% bifurcation point. What I mean by this is that at some point in the future I see AI creating so much data that become part of the data base ( the internet) that it begins to use its own created data to make decisions. Will this matter?
I do think this will matter. What will it do to its ability to think and reason? Here is a harder question, will it be too late? What I mean by that question is will it be too late for us at this future date due to our conditioning and dependence on AI systems? If, at a future date, this ancestral state of entropy is reached and it results in AI systems suddenly providing some false information or some untrue truth, will we be able to recognize this information as false or will we be too far gone? There are hard questions not being discussed regarding AI that need to be discussed. Will we take the time to discuss them or are we too in a hurry to usher in AI as the solution to all our problems. When that day comes, AI will be the least of our worries. Until next time …














