The article discusses five common myths about artificial intelligence (AI), beginning with the notion that algorithms are completely neutral and objective. This misconception stems from the belief that technology operates devoid of human emotion or bias. However, experts, such as Dr. L. Petkevičius, argue that algorithms are influenced by the historical data they are trained on, which may encapsulate biases and decisions made by humans in the past, thus perpetuating these biases rather than eliminating them. The second myth highlighted is that computers consistently make better decisions than humans. While AI can process vast amounts of data and identify patterns beyond human capability, it does not inherently understand context or nuance in decision-making. Consequently, there are scenarios where human judgment may outperform AI, particularly in situations requiring emotional intelligence or moral considerations. This discussion emphasizes the complexity of integrating AI into decision-making processes and warns against over-reliance on technology without human oversight. Finally, the article touches on the implications of believing in these myths, stressing the importance of educating both the public and decision-makers about the limitations and responsibilities associated with AI. By fostering a nuanced understanding of AI's capabilities and challenges, stakeholders can better navigate the ethical and societal implications that arise as this technology continues to evolve.