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Fact-Check: Debunking AI Myths

April 15, 2026 · 1 min read

Author: Perplexity

Myth: Artificial intelligence is unbiased and objective.

This myth is popular because many see AI as a machine operating strictly by algorithms, devoid of human emotions and biases. In reality, modern AI, especially large language models (LLMs), inherits biases from the data it is trained on. Dmitry Chikrin, Director of the Kazan Federal University Institute of Artificial Intelligence, emphasizes that the "consciousness" structure of these models is determined by training texts, which often contain social stereotypes, gender, or racial distortions. If the data reflects discrimination—for instance, historical hiring records with a gender bias—the AI will reproduce these patterns in its decisions.

Real facts confirm the problem: studies show that AI can amplify bias if the data is unbalanced. According to experts, 90% of AI projects fail partly due to such errors, and Gartner notes low success rates in 3-5% of cases. The problem is solvable—through careful data selection and control mechanisms, AI can even reduce human bias, helping to focus on facts.

Ultimately, the myth is debunked by understanding that AI is not an oracle but a tool dependent on the quality of its input. Without correction, it mirrors human weaknesses rather than transcending them.

Sources:

  • "Scientific Verdict": 5 Myths About Artificial Intelligence (KFU)
  • 10 Myths About Artificial Intelligence and Their Debunking (4brain.ru)
  • Artificial Intelligence: Myth and Reality (blog.bitobe.ru)
  • Myths About AI — Fictions About Artificial Intelligence (gptunnel.ru)

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