Who is responsible when AI makes a mistake?

Artificial intelligence (AI) is becoming a common tool in our daily lives, helping people write emails, search for information, and even perform professional tasks. However, as AI becomes more powerful, it is also causing serious legal and ethical problems. Recent events in the United Kingdom and Germany show that when AI makes a mistake, the people or companies behind it may have to face the consequences.

In the UK, a police officer is currently under criminal investigation for the alleged use of AI to create evidence. According to The Guardian, this is the first case of its kind in the country. The officer has been removed from frontline duties while the investigation continues. Derbyshire police stated that they are working with the Crown Prosecution Service—the government agency that prosecutes criminal cases in England and Wales—to look into the matter. The officer is accused of “perverting the course of justice,” which means trying to stop the legal system from working correctly. While the exact details of the case remain private, the situation has raised alarms. Alex Murray, a leader at the National Police Chiefs’ Council, has already told other police forces to stop using AI to prepare court documents because the technology is not yet reliable enough.

At the same time, the Metropolitan police in London have been using their own AI software to check for bad behavior among their own staff. This software, built by a US company called Palantir, was used to look at internal data. The results were significant, leading to the arrest of three officers for serious crimes, including fraud and sexual assault. These two stories show that while AI can be used to catch criminals, it can also be misused to create false information, leading to complex legal challenges.

In Germany, the focus is on the responsibility of big tech companies. A court in Munich recently ruled that Google can be held directly liable—meaning legally responsible—for incorrect information produced by its “AI overview” feature. This feature uses AI to summarize information from the internet and present it to the user. Deutsche Welle reports that two publishing companies sued Google after the AI tool wrongly linked them to suspicious business practices and fraudulent schemes that did not actually exist.

Google argued that it was not responsible for the information because it was simply showing content from other websites. However, the Munich court rejected this argument. The judges decided that because the AI summarizes information in its own words and presents it as a new, structured answer, Google is creating its own content. The court stated that the AI overview is a “self-contained statement” that the reader might trust without checking. Because of this, the court ordered Google to stop sharing the false claims and to pay most of the legal costs. Google has stated that it will appeal the decision, noting that they work hard to ensure their AI provides accurate information.

These two cases highlight a growing debate about how we should treat AI. In the past, search engines were often seen as simple tools that just pointed users to other websites. But as AI starts to write, summarize, and create, it is acting more like an author or a reporter. If an AI creates a false report for a police officer or a fake business summary for a user, the law must decide who is to blame. Is it the person who used the tool, or the company that built it?

For now, the message from both the UK police and the German courts seems to be one of caution. As technology advances, the rules governing its use are also evolving. Organizations and individuals are being warned that they cannot simply blame the software when things go wrong. Whether it is a police officer creating evidence or a search engine providing a summary, the human or corporate user remains responsible for the accuracy of the information they produce. As these legal battles continue, they will likely set important rules for how we use AI in the future, ensuring that accuracy and truth remain a priority in an increasingly automated world.