Algorithms utilize personal data that is collected pertaining to the situation, experience, or scenario they simulate. Data collection is crucial for machine learning and can introduce "bias" that could lead to "technological discrimination”. Nevertheless, algorithms cannot be held "guilty" as they are neither physical nor legal entities. The responsibility lies with individuals who make decisions regarding their use, implementation, and the resulting outcome.

ChatGPT and the underlying AI technologies it represents evoke both fascination and concern. ChatGPT is the result of advances in mathematical research, machine power, and the proliferation of data on the internet. It represents a new technological revolution that is just beginning, with significant perspectives and challenges. Artificial intelligence (AI) covers a wide variety of technologies and application areas. These AI applications have already begun to transform many areas, including fina...

Numerous theories center on the notion of AI eventually gaining control over human civilization. This idea may appear plausible, particularly when considering the common science fiction motif of endowing immense power to AI and robots. However, examining the factual capabilities of this technology and its current applications, it becomes evident that such a scenario is not feasible. Overall, it is important to separate fact from fiction and to understand the limitations and capabilities of this ...

In recent years, the use of recommendation systems has become ubiquitous in various fields, and it is changing the way people make decisions. This phenomenon is especially evident in consumer-facing industries, where recommendation engines are becoming increasingly essential for companies to keep up with rising client expectations, handle information overload, and reduce costs.