Codependence of AI and Humans

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Intelligence is the mental ability that is used in reasoning, problem-solving, and learning and integrates the core cognitive functions of perception, memory, attention, focus, planning, and language. Years of research have proven over and again that intelligence is measurable through standardized, scientific tests and can be altered through customized means and methods.

Artificial intelligence is already impacting virtually every industry and every human being. This incredible technology has brought many good and questionable things into our lives, and it will create an even bigger impact in the next two decades. Artificial Intelligence is helping humans expand their abilities in three ways. They can amplify our cognitive strengths; interact with customers and employees to free us for higher-level tasks, and embody human skills to extend our physical capabilities. Artificial intelligence can boost our analytic and decision-making abilities by providing the right information at the right time. Human-machine collaboration enables companies to interact with employees and customers in the novel, more effective ways. With sophisticated sensors, motors, and actuators, AI-enabled machines can now recognize people and objects and work safely alongside humans in factories, warehouses, and laboratories.

Uses of AI in daily life:

Artificial intelligence is known as a technology that allows machines to simulate human learning. Machine learning (ML) is part of artificial intelligence technology, and the purpose of ML is to have machines learn automatically from stored information and not intervene with coding. Artificial intelligence is now part of our everyday environment, whether we are aware of it or not. AI lurks in the background every time we open our Facebook newsfeed, conduct a Google search, purchase a suggestion from Amazon, or book a trip online. There are also popular AI apps that help us. Some prominent use cases of AI are:

Cyber security:

We live in an era where cyber security threats are quite common. The trend is even more prominent now. And it should not come as a surprise that many of us are using computers, smartphones, or tablets while connected to the internet, not just for work but also for leisure. Whether you are an individual or a company looking to improve cyber security, machine learning is a promising technology. Algorithms require only a few seconds to detect potential threats, meaning that security teams can respond quickly and avoid potential problems. Since cybercriminals are developing new threats regularly, machine learning could also be used to discover attack patterns and predict what is coming next.


Ecommerce is another example of how an industry can benefit from machine learning and AI. For example, there is a recent surge in voice shopping online, and you can see more online stores optimizing their websites for the feature. Technology that recognizes voice patterns and registers them can make the online shopping experience even more hassle-free. Chatbots are another great example of how online stores can benefit from ML. A chatbot that can respond immediately after a customer sends a question provides a lot of value. Such chatbots can be available 24/7 and are more efficient than real people working in customer support.

Health care:

Healthcare workers who changed from medical school to actual work might need more practice than they expect. The problem is that you cannot really risk “practicing” on real people, and it would be much better to create simulations that can replicate the real-life experience. With the help of virtual reality, the healthcare industry can provide its workers with an environment that allows them to polish their skills. Training on an operating table and receiving a signal as soon as the simulation detects that something is wrong is a solid approach to improve as a surgeon, for instance.


Self-driving cars are probably the first thing that comes to mind when speaking of machine learning and manufacturing. The gimmick is still relatively new, and there is still a lot of room for improvement going forward. Right now, not that drivers would be willing to leave their cars in the hands of a computer and would rather drive themselves. Moving from the car example to a broader perspective, you can consider how machine learning can optimize manufacturing and reduce or eliminate redundant processes. From there, businesses can increase productivity and establish a better growth plan which will translate to more profits.

Virtual Personal Assistants:

Siri, Alexa, and other digital assistants might seem like a gimmick to some, but there is more to them. You can take advantage of these assistants and leave some of the more redundant tasks to them instead of doing it yourself. For instance, if you are using an iPhone or MacBook, you can tell Siri to do a quick Google search for you or send someone a text. Of course, you also need to make sure that the device you are using is functioning properly, as there are instances of various issues, such as no microphone found, or the input sound too low. If you were paying attention to the trend of these digital assistants and their development, you must have noticed how they tend to receive new features with each update. More advanced technology comes thanks to the achievements in researching machine learning and applying new discoveries to use. Comparing what virtual personal assistants were in their early versions and what they are capable of right now is an excellent example of how much machine learning and AI advanced recently and how we can expect even greater things in the future.


AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision-making. AI is altering the world and raising important questions for society, governance, and the economy.