AI in Judiciary: Why Courts Are Being ‘Cautious’
Can AI Write a Court Order?
What Bengaluru’s Strange Case Teaches Us About Responsible Technology
When Machines Obey, But Humans Forget to Lead.
A few months ago, the idea of AI drafting a court order would have sounded absurd, something straight out of a sci-fi movie.
But in Bengaluru, that’s exactly what happened.
The Income Tax Appellate Tribunal (ITAT) discovered that an order had been written using artificial intelligence. When the case reached the Karnataka High Court, judges called it “an extraordinary instance.”
Not because the machine went rogue but because humans allowed it to happen.
The question isn’t “Can AI write a court order?” It’s “Why did someone let it?”
When Convenience Replaces Caution
AI was built to assist human judgment, not replace it. But somewhere in our pursuit of convenience, we began to forget where assistance ends and dependence begins.
In this Bengaluru case, it wasn’t the machine making a choice. It was a person deciding that a task meant for a judge could be handled by a tool. Maybe it was an innocent shortcut. Maybe it was negligence.
But it revealed something big and deep. How easily we allow convenience to take the place of caution.
The problem isn’t with AI. It’s that people who misuse power without responsibility.And Mistakes become ethical catastrophes when technology is used as a way to avoid human accountability.
A Case that reflects everyday choices
Imagine a taxpayer who has been anxiously awaiting a decision that could affect their future for months.When it does come, the language is clear and the logic remains sound but something feels odd.
It wasn’t written by a person. It was written by a program.
No empathy. No context. No understanding of what that decision truly meant.
That isn’t an AI failure.It’s a human one. And this pattern extends far beyond the courtroom. From hiring to compliance, from finance to verification — AI now quietly shapes decisions that touch real lives.
Every report and algorithm has a person at its core, whose future could be altered by a single click.
A biassed dataset, a single incorrect input, or a moment of human error can wrongfully harm someone’s reputation or turn down them an opportunity they deserve.
In reality, technology is not biassed.
The true risk, however, is in those who create it, train it, or abuse it.
People, Not Just Algorithms, Are Needed for Trust AI lacks empathy and transparency, but it can think quickly.
As a result, trust comes from responsible humans, not from machines.
No matter how sophisticated, a system is only as reliable as its users.
That where Background Verifications are essential because they verify that people using sensitive information or powerful tools are not only competent but also ethical, responsible, and reliable.
Because technology doesn’t misuse itself. That choice is made by the people.
Moreover, the first step to avoid technology misuse is to make sure the right people are in the right roles.
The Bengaluru case isn’t a warning against AI. It’s a wake up call for us. Before questioning what machines can do, we must question who is using them and how.
What’s your take?
Should AI misuse be blamed on the tool or the people behind it?