Artificial Intelligence (AI) is one of the most radical and far-reaching technologies of the 21 st century. Whether we use voice assistants such as Siri and Alexa or even self-driving cars, AI has become an essential ingredient in the contemporary life within a short period of time. It is transforming the industries, altering the employment marketplace and the manner in which we live and associate with machines.

What is Artificial Intelligence?
AI is defined as simulation of intelligence in machines. The work of these machines is to execute the duties usually performed by the human intelligence including the learning, reasoning, resolving of the problems, the comprehension of the language, and perceiving. Usually, machine learning algorithms, large volumes of data, and computing are used to analyse patterns, make choices, and learn over time without a human directing them.
Types of Artificial Intelligence
The three broad categories of AI include:
- Narrow AI (Weak AI): It is the most widespread type of AI nowadays. It also has a certain purpose and it is calculated to complete a given task, example facial recognition, translating of language or playing chess. It also works according to a limited number of restrictions and only does what it has been programmed to do.
- General AI (Strong AI): This kind of AI would be capable of carrying out any intellectual task any human would do. It would have general cognitive skills, ability to learn and course of transferring such knowledge. Even at this point, general AI is hypothetical and not gathered.
- Super AI: super AI would be a hypothetical form of AI that can out-think humans in every way i.e. creativity, problem-solving and social intelligence. Although people live in a purely science fiction world of its existence nowadays, it presents very serious ethical and safety considerations in the future.
- Healthcare: AI assists with diagnosing diseases earlier than is currently possible, creating personal care, medical imaging, and developing drugs. In another scenario, AI programs currently perform within the preciseness of professional radiologists in identifying cancer in X-rays.
- Finance AI can be applied in credit scoring, defence against fraud, chatbots, and automated trading.
- Transportation: AI is required in self-driving cars, sources of traffic control, and streamlining routes.
- Education: AI-based tools adjust your studying process to your needs, automate managerial operations, and make tutoring smart as well.
- Customer Service: Customer service remains a significant challenge and can be effectively resolved by the use of chatbots and virtual assistants to provide customer support 24/7, which decreases the workload related to providing this support and increases customer satisfaction.
- Agriculture: AI helps in monitoring crops, detecting pests, and predicting crops as well as implementing smart irrigation.
- Speed and Accuracy: AI systems have the capability of conversing and working on huge amounts of data quicker and more precise than human beings.
- Automation: Robotic tasks can be automated and humans can do more creative and strategic jobs.
- Customization: The AI can be very tailored to each individual in areas such as e-commerce, streaming and learning.
- Cost Saving: AI can save operational costs which can be minimized through reduction of costly errors and decision making.
- Job Displacement: Many low-skill and repetitive jobs that are becoming automated by AI have the potential of displacing people and remaining unemployed in those industries.
- Privacy and Security: AI systems gather and process massive personal data, which should lead to data privacy and abuse.
- Prejudice and Equity: AI models may amplify prejudices that exist in the training data and thus act unfairly in conducting such tasks as employment or policing.
- Ethical Dilemmas: How will ethical dilemmas be solved as an AI is more independent? What is an accountability and what is moral responsibility? As an example, what happens when an accident occurs because of autonomous vehicle?