The growth of Artificial intelligence (AI) is typically praised for making tasks much simpler and time-consuming. We all utilize Artificial Intelligence Solutions to accomplish a variety of tasks in our daily lives, including finding the quickest route between our house and our place of employment, reading web pages written in foreign languages, looking up information we require, and a number of other tasks. AI has recently incorporated itself into our daily lives in ways that we might not even be aware of. It has spread so widely that many people are still oblivious of its effects and how much we depend on it. Our civilizations are faced with significant ethical, social, and legal difficulties and risks from AI. It is important to carefully evaluate, minimize, and in certain circumstances, remove these difficulties and dangers.

Whenever we switch on our devices, we are exposed into AI functionalities for instance:

· Google search engine

· Social Media

· Facial recognition

· emails

· apps

· digital voice assistants such as Amazon’s Alexa

· Navigation assistance — Maps, traffic updates, weather conditions

· shopping

AI Technology can take many different forms, from straightforward tools like chatbots used in customer service applications to sophisticated machine learning systems used by enormous companies. The field encompasses a wide range of technologies, including:

· Machine Learning (ML). This describes computer systems that are able to learn and adapt without explicitly following instructions by using algorithms and statistical models. In machine learning (ML), three basic categories — supervised, unsupervised, and reinforcement learning — of conclusions and analyses are distinguished in data patterns.

· Natural Language Processing (NLP). Computer science’s use of AI in this domain is difficult because it necessitates a massive amount of data. To teach intelligent machines how to comprehend how people write and communicate, expert systems and data interpretation are needed. Applications for NLP are being used more and more, for instance, in call centers and the healthcare industry.

· Deep learning. This is regarded as a subset of ML, It is a field that relies on studying computer algorithms to learn and advance on its own. Deep learning uses artificial neural networks, which are created to mimic how humans think and learn, whereas machine learning uses simpler principles.

In a nutshell, It is inappropriate to demonize technology. Our lives are made simpler, happier, and longer by it. But as ordinary people, we must be mindful of the dangers that such systems represent to us. Additionally, we should anticipate that the EU and our national governments will come up with and enforce laws that safeguard our fundamental rights and interests.