If AI Gives Wrong Advice, Who Is Responsible - The Machine or Its Creator?

Have you ever wondered what happens if a machine gives us wrong advice? Who should be held responsible, the machine itself or the company that created it?

Today, artificial intelligence (AI) is everywhere. It suggests routes, reminds us to take medicine, recommends songs, and even helps us make decisions. But what happens when AI gets it wrong?

Let’s understand this through a simple story.

Lisa has diabetes. She uses a health app powered by AI every day. One day, the app tells her, “You don’t need to take your medicine tonight, your sugar levels are normal.” Trusting the app completely, she skips her medication. That night, her sugar levels spike, and her health worsens.

Now the question arises, was the AI wrong? Or should Lisa have also consulted a doctor instead of relying entirely on the app?

To answer this, we first need to understand what AI actually is.

AI is a system that makes predictions based on past data. It is not a doctor. It does not understand human emotions or individual medical history. It simply analyzes patterns like: “If 90% of similar cases show this result, then this might apply to you too.”

But 90% is not 100%. And that small gap can sometimes lead to serious mistakes.

So who is responsible when AI fails?

Companies often argue, “We built the system to be as accurate as possible, but we cannot guarantee 100% correctness for every individual. Users must use their own judgment.”

Legal systems respond differently. Some say the company should be responsible because they created the tool. Others say responsibility lies with the user who chose to rely on it. In reality, many countries still do not have clear laws for such situations.

Doctors, on the other hand, view AI as just a supportive tool, not a decision-maker. Medical responsibility still lies with human professionals.

Let’s look at another example.

A self-driving car powered by AI is on the road. Suddenly, a pedestrian crosses unexpectedly. The AI assumes the person will stop but they don’t. An accident happens.

Now, who is responsible? The car owner, who wasn’t driving? The company that built the AI system? Or the pedestrian who broke the rules?

Even in countries like the United States, legal systems are still struggling to answer these questions. Some cases are ongoing but there is no universal rule yet.

So what should we do in such a world?

Here are three simple principles:

First, AI is a tool, not a doctor, lawyer, or financial advisor. Always double-check important decisions with humans.

Second, no AI system is 100% accurate. Even a 99% success rate still leaves room for critical errors that may affect real lives.

Third, laws around AI responsibility are still evolving. Until they are clear, caution is your personal responsibility.

Practically speaking, AI can be trusted for navigation, suggestions, and general guidance. But when it comes to medicine, money, or legal advice, human expertise is essential.

So use AI, but use it wisely. Keep your eyes open. For major decisions, always seek human guidance. And if AI makes a mistake, accountability should be questioned, but the truth is, the legal system is still catching up.

Until then, awareness is your strongest protection.