Artificial intelligence: Substitute or Assistant?

13% of people on the planet are convinced that they will lose their jobs due to artificial intelligence. But is it just their jobs they are concerned about? Elon Musk has already announced the appearance of Robot Wife. Well, at least they will not complain about scattered socks. So, is there a risk in personal life as well?

AI is developing and being implemented in our lives so rapidly that we have stopped noticing it. We thank the bots and ask Siri if she loves us. Of course, that is a joke, but considering the latest news, who knows, who knows.

So, Let's analyze all the risks and benefits of AI .

How to use artificial intelligence and how can it improve our lives instead of ruining them?

Virtual Assistant: We've already mentioned Siri. There is also Google Assistant or Alexa. They execute voice commands, which means you still control them, rather than them controlling you. It can be anything from playing your favorite song on YouTube, checking the weather forecast, to more complex tasks like controlling smart devices.

System Recommendations: AI analyzes our preferences, online behavior, and suggests movies, music, articles, and photos that we might like. Yes, they are keeping an eye on us! However, mostly with our consent. iOS made it mandatory to allow tracking of personal data. Of course, you can opt out, but then you will have to find funny cat videos on TikTok yourself.

Natural Language Processing (NLP): This is more complex. NLP focuses on enabling computers to understand human language. This AI algorithm is used in chatbots, voice recognition, sentiment analysis, and language translation. It would be great to come up with an algorithm where people could understand each other.

Autonomous Vehicles: Initially, we drove manual transmission cars, struggled with driving exams. Life became easier with the invention of automatic transmission, but now we have self-driving cars. Thanks to artificial intelligence, vehicles perceive the surrounding environment, make decisions, and move safely on the road. Technologies like computer vision and machine learning are used for this purpose. The key here is to "make decisions." On the one hand, we allow AI to control our lives, and on the other hand, AI can consider all possible factors on the road that a human simply cannot pay attention to simultaneously. Therefore, trusting artificial intelligence or relying on one's own abilities is a choice that each person makes.

Healthcare: Artificial intelligence actively assists doctors. It significantly speeds up data processing. It can analyze medical images, diagnose diseases, detect patterns, and provide data to support healthcare professionals. Efforts are being made to make AI as humane as possible, providing not only dry facts but also moral support. We developed a healthcare AI-powered fitness app where artificial intelligence acts as a trainer, providing personalized workout and nutrition programs, as well as daily motivation.

Fraud Detection: AI algorithms can analyze large volumes of data to identify patterns and anomalies, helping detect fraudulent activities in the banking sector, insurance industry, or e-commerce sector. It is almost impossible to manually verify such large amounts of data, especially in the case of rapid hacker attacks where every minute counts.

Certainly, the importance of artificial intelligence for society should not be underestimated. It indeed speeds up processes and reduces the need for human resources. However, AI needs to be directed, given proper tasks and requirements.

How to best use AI?

  • Identify the problem: Here a person is needed and cannot be replaced by AI. You need to identify the main problem or goal you want to achieve using artificial intelligence. Even the task of "finding the problem" is a problem statement itself.
  • Quality data: Artificial intelligence learns from the network (which has led to debates about copyright and permissions for personal data usage). However, as a result, it provides everyone, including competitors, with results based on that data. If you have personal data on which AI can learn, it will give you a customized result.
  • Problem formulation: A lot depends on the correct formulation and clear technical task. Artificial intelligence understands human language but has not yet learned to read minds. Therefore, it works just like in the regular world without robots: Clear task, precise result.

What are the types of artificial intelligence?

There are two types of artificial intelligence:

Narrow AI and General AI (infographic)


Narrow artificial intelligence, also known as weak artificial intelligence, is designed to perform specific tasks or solve specific problems. It focuses on a limited area and does not possess human-level intelligence beyond its specific domain. Examples of narrow AI include speech recognition systems, image recognition algorithms, and recommendation systems.

General AI, also known as strong AI or artificial general intelligence, refers to AI systems that possess human-level intelligence and can perform any intellectual task that a human can do. Such a level of AI does not currently exist, and researchers are still working on its development.

The operation of AI involves several key components:

Data: AI requires large volumes of data to learn patterns and make decisions. This data can be structured in databases or not, but the important thing is that it must be valid and accurate. Artificial intelligence learns from existing data, so it can be exposed to fakes and incorrect figures within its field. Additionally, in the absence of data, AI can generate fictional data to fill the gap.

Algorithms: "Rules for the weak," people say. However, AI requires rules. It is through these rules it is generally able to work and make decisions.

Machine learning: It is a subset of artificial intelligence that focuses on algorithms that allow machines to learn from data and improve their performance over time without explicit programming. It involves training models on labeled data and using statistical methods to predict or take actions based on new, unknown data.

Deep learning: It utilizes artificial neural networks inspired by the structure and functioning of the human brain. It is interesting to know that AI has been created based on our brains. Deep learning algorithms can learn complex patterns and hierarchies from large amounts of data, making them well-suited for tasks such as image recognition and natural language processing.

Neural networks: Neural networks are a fundamental component of deep learning. They consist of interconnected nodes (neurons) arranged in layers. Each neuron performs simple calculations, and the connections between neurons allow information to flow through the network, enabling the learning and decision-making processes.

Artificial Intelligence Statistics 2023



How is AI used in IoT? What are the benefits of AI for IoT?

We talk a lot about IoT be cause it is our main field. We have written about creating IoT products , testing them , the role of mechanical engineers in development , IoT products in smart homes and agri-tech industri es and we definitely would like to mention that the use of AI in IoT products has great potential. The combination of artificial intelligence and the Internet of Things can create intelligent systems that collect, analyze, and process massive amounts of data generated by connected devices. Here are a few ways AI is used in IoT:

  • IoT devices generate vast amounts of data from sensors, actuators, and other sources. AI algorithms can analyze this data in real-time to derive valuable insights, identify patterns, detect anomalies, and make predictions. This information can help optimize operations, improve efficiency, and enable proactive maintenance.
  • By tracking parameters such as temperature, vibration, or performance indicators, artificial intelligence can detect early signs of potential failures and initiate preventive maintenance before costly breakdowns occur. This approach helps minimize downtime, reduce maintenance costs, and extend equipment lifespan.
  • AI-powered virtual assistants such as Amazon Alexa, Google Assistant, or Apple Siri are increasingly integrated with IoT devices in homes. These assistants use AI methods, including natural language processing and machine learning, to understand user commands, control IoT devices, and provide personalized experiences. They can also be used for entertainment purposes or as a substitute for pets (which may concern actual pets regarding "job" loss).
  • We have already mentioned that AI and IoT are key components of autonomous vehicles. IoT sensors embedded in vehicles gather data about road conditions, traffic signs, weather, and more. AI algorithms process this data to make real-time decisions related to navigation, collision avoidance, and adaptive cruise control, enhancing safety and efficiency. It is something like the BATmobile and Iron Man suit.
  • And of course, we should not forget about the healthcare sector, where both IoT devices and AI are actively used. Their combination greatly assists doctors in diagnosing quickly, monitoring patient conditions, managing information, and often motivating patients. Wearable devices such as fitness bracelets or smartwatches, based on AI, constantly monitor a person's health, provide recommendations for exercises and physical activities based on individual data, and adjust them according to the current state.

These are just a few examples of the integration of AI and IoT. New startups are eme rging every day, and research is being conducted. In a few years, we will not even recognize our world. Many routine tasks can indeed be taken over by AI, and certain professions may no longer be needed. However, in the majority of cases, artificial intelligence will remain an assistant rather than a substitute.