Isaac Asimov's Three Laws Of Robotics

When Isaac Asimov envisioned a world in which robots would be as common as humans, he determined all of the ethics and morals that would bind these smart machines with three rules: “1. A robot may not injure a human being, or through inaction allow it to come to harm, 2. A robot must always obey a human, unless this conflicts with the first law, 3. A robot must protect its own existence as long as this doesn’t interfere with the first or second law” (Asimov, 1941). These three statements were baptized as the Three Laws of Robotics, and to the day they serve as a standard for robots and a goal for artificial intelligence researchers. But as the Laws were created in a time when people thought that by 2015 visiting Mercury would be a routine
Defined as “make automatic or habitual”, this term is used on technology and business as the method of employing machines in tasks or jobs that would have orthodoxly been performed by a person. More than a few consider this process as impossible, as “just a theory”, but fail to realize that it has already happened once: during the Industrial Revolution. For the sake of language precision, it must be stated that it wasn’t the Industrial Revolution, but the invention of a practical steam engine what really triggered the first massive use of automatization. “Scientists began tinkering seriously with steam in the early 1600s and, like most inventions of the day, it was a team effort that ultimately led to the first working steam engine” (Whipps, 2008). The result was that factories no longer needed to employ forty people to work, but just one to take care of the machines, effectively replacing the other thirty nine. This proves that machines replacing humans isn’t just an irrational idea, and the contemporary growth in the amount of both technological improvements and use of automatization may indicate that mankind is standing at the verge of a second Industrial
To a certain extent this statement may be correct: even if it is theoretically possible for an A.I. (defined as “a machine with code that includes the ability to learn” (Oxford)) to eventually undergo the necessary studies to learn the medical profession, intuition based on instinct and experience can’t be replicated. So full automatization may be impossible to implement on medical professions, but that hasn’t stopped doctors and surgeons that sometimes rely on machines to perform better. This concept, to enhance human action with machines, may be defined as a “hybrid automatization” and is already used in many countries at medical operations. It is not unthinkable to predict that machines may eventually undertake routinary procedures on their own, and “robot nurses, or at least assistant robot nurses, may have a place in the future” (Scutti, 2015). Also, many of the newly released wearable technology has the potential to monitor some of the user’s vitals such as heart rate. This may be a glimpse to a future in which doctors will have a 24/7 databank on the user (recollected by their watch) to rely on for their