Artificial intelligence, coined by John McCarthy in 1950, is the ability of computers or computer programmers to learn, think, and reason in the same way that a human brain does. Data and instructions are supplied into an AI system, which then makes conclusions and executes functions. It improves its efficiency by learning human reasoning and logic over time. AI is ubiquitous, from Google’s auto-search to self-driving automobiles. Artificial Intelligence, with its diverse set of technologies, enables computers to ‘sense’, learn, and behave in the same way that a human brain does. Of course, Artificial intelligence has several advantages and disadvantages which we will cover in the following blog.
Advantages of Artificial Intelligence
Efficiency and Accuracy
Artificial Intelligence is both scalable and cost-effective. Instead of being constrained by a human brain’s finite resources, it can be combined with scalable computer systems ranging from cell phones to supercomputers that power AI systems like IBM Watson and Google DeepMind. AI’s scalable efficiency implies it can be used to execute both very simple and extremely complicated jobs repeatedly without becoming exhausted. It’s a common misunderstanding that AI has to be ‘smart’ in order to be ‘intelligent.’ Artificial intelligence may be used to perform activities that are normally tedious, time-consuming, or repetitive for people, such as crawling through websites to collect data.
Zero human error
Reduced human error is the reason why artificial intelligence has become increasingly popular in a variety of fields. You achieve reliable results when you can fully eliminate human mistakes. The catch is that you must program correctly. Machines make precise choices based on prior data gathered over time while executing certain algorithm sets. As a result, there is a decrease in mistakes and an increase in accuracy. For example, Google recently announced on its AI blog the development of a machine learning approach for weather forecasting. It will be known as ‘Nowcasting’ by Google, and it will anticipate weather up to six hours ahead of time. Google believes that by utilizing fewer data points and a basic technique, they can better anticipate the weather, particularly for occurrences such as thunderstorms and precipitation.
The Mechanical Advantage
The fact that Artificial Intelligence can be incorporated into extremely strong machines with a mechanical edge over humans is maybe what worries Sci-Fi authors and futurists the most. Imagine a machine with the strength of a tank and the intellect of a superhuman. AI combat drones and vehicles, such as the Boeing Loyal Wingman, are already in service. Engineers can utilise AI to push components beyond what a person could physically take a while without putting their lives in danger. This is also what we see in space, where AI robots may boldly travel where no man has gone before and collect data from hostile settings like Mars’ surface and beyond.
Artificial Intelligence has no emotions
Machines don’t have feelings. This one feature of AI-enabled robots can help you handle consumer complaints more consistently. With an AI-enabled chat system, however, there is no such breaking point. Customers can ask any number of strange questions, and your chatbot has pre-programmed responses that it will continue to display based on its appraisal of the inquiry. Because machines don’t feel pain, it’s one of the safest methods to manage such situations.
Low-skilled human occupations may be replaced by AI systems, which implies your company may need to recruit fewer workers. Furthermore, AI may elevate individuals to focus on higher cognitive activities that need more sophisticated training, allowing humans to generate more value in the end. This means we’ll be able to increase the efficiency of our local, national, and global businesses while lowering expenses and making them more affordable for our customers. Businesses that do not use AI may find it difficult to compete with creative, highly efficient AI-driven businesses.
Disadvantages of artificial intelligence
The worries about AI expressed by SciFi writers and echoed by people like Hawking and Musk have some merit. Advanced AI is a new frontier, and we don’t yet know what its boundaries are or how cautious we should be in developing it. When AI becomes autonomous, or independent of its creator, and extremely intelligent, Pandora’s Box is really unlocked. Though we may envision a rogue intelligent robot escaping its creator’s hands, intelligent rogue AI might ‘live’ anywhere with an internet connection — it doesn’t have to assume physical form.
Machines lack creativity
The problem with machines is that they only do what they’re designed to do. Machines can learn over time thanks to artificial intelligence, but they can’t learn to think beyond the box. A machine will always assess a situation based on pre-programmed facts and previous experiences. It’s tough for a machine to think beyond the box. The issue with this bot-written piece is that, unlike previous Forbes articles, it lacks a human touch. When a computer writes an article, the creative touch that goes into explaining events and use cases is missing.
Even though AI can be programmed into a machine doesn’t imply it won’t deteriorate with time. Human bodies are extraordinarily good at renewing, and while we may believe flesh and blood to be inferior to metal, there are some major benefits. If the components of an AI system deteriorate, it will be unable to repair itself unless it is capable of self-repair and will eventually fail. It may be able to comprehend why something is failing, but it lacks the physical ability to prevent or repair it. It’s possible that the model training data has become obsolete.
The cost of AI varies greatly. If we examine a web scraper that scrapes only a few hundred URLs, we can most certainly execute this on our own internet connection and system resources. When you scale this up to millions of web pages, you’ll need dedicated servers and strong systems to keep the web scraper running smoothly. With AI’s scalability comes scalability in expenses. Most consumer electronics presently lacks the capability to operate sophisticated AI.