"AI will replace all human jobs." 
While automation will impact some jobs, AI won’t eliminate most occupations; it will transform them. Many professions requiring complex skills, creativity, or empathy will still need people.

"AI makes decisions completely on its own without human input." 
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness." 
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans. 

"AI is always objective and unbiased." 
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns. 

"Only tech experts can understand AI." 
While creating AI requires advanced technical skills, you don’t need to be a data scientist to learn how to use it. People from various fields can apply it to their work. 
 

AI is revolutionizing many industries. 
From medicine to education, AI is changing how things are done. For example, it helps detect diseases with greater accuracy and personalizes learning methods in education.

AI needs good data to perform well. 
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges. 
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

AI complements human work.
Rather than replacing people, AI enhances efficiency, enabling workers to focus on more creative or complex tasks. This makes AI a tool that adds value rather than taking it away. 

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. 

"AI will replace all human jobs." 
While automation will impact some jobs, AI won’t eliminate most occupations; it will transform them. Many professions requiring complex skills, creativity, or empathy will still need people.

"AI makes decisions completely on its own without human input." 
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness." 
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans. 

"AI is always objective and unbiased." 
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns. 

"Only tech experts can understand AI." 
While creating AI requires advanced technical skills, you don’t need to be a data scientist to learn how to use it. People from various fields can apply it to their work. 
 

AI is revolutionizing many industries. 
From medicine to education, AI is changing how things are done. For example, it helps detect diseases with greater accuracy and personalizes learning methods in education.

AI needs good data to perform well. 
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges. 
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

AI complements human work.
Rather than replacing people, AI enhances efficiency, enabling workers to focus on more creative or complex tasks. This makes AI a tool that adds value rather than taking it away. 

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.