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Who will bear the blame when AI makes a mistake? Law and responsibility in the digital world

This leads to practical questions:

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February 10, 2026

Artificial intelligence today no longer just writes texts or generates images. More and more often it is entering the decision-making of people, companies and institutions. It recommends, analyzes, evaluates — and sometimes it also gets things wrong. The question, which so far has no simple answer, is clear: who will bear responsibility for that?

In the new episode of the CZECH CYBER TV podcast we looked at this question with lawyer Barbora Vlachová, who has long specialized in information technology law, cybersecurity and digital regulation. The discussion touches not only on artificial intelligence, but also on how the role of law is changing at a time when technology is outpacing legislation.

Law, technology and responsibility

One of the main topics of the interview is the relationship between technological development and legal responsibility. According to Barbora Vlachová, the law does not aim to keep pace with every innovation in real time. Its role is rather to set boundaries, protect fundamental values and determine who is responsible for what.

This leads to practical questions:

  • Is an error caused by AI a technical problem, or a human failure?
  • And can a company rely on the claim that "the algorithm decided"?

The conversation also touches on specific legal disputes related to artificial intelligence. AI appears in evidentiary proceedings, in analyses, and as a tool that influences decision-making. Legal practice is thus gradually encountering situations it was not historically prepared for.

A crucial role here is played by the question of trust — not only in the technology itself, but also in the processes that surround it.

Will AI take lawyers' jobs?

One of the most common concerns is also raised in this episode: will AI replace lawyers? The answer is not black and white. Artificial intelligence can make routine tasks, document work and research more efficient. At the same time, however, it does not assume responsibility — and that responsibility remains a key role for humans.

The discussion also opens a less discussed topic: whether the use of the same AI tools might lead to a standardization of legal thinking, arguments and opinions. And what that could mean for the quality of decision-making.

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