AI is getting smarter, but the ethical dilemmas are growing. From biased hiring tools to data leaks, we uncover the biggest risks in 2025 and ask: who is to blame when AI goes wrong?
In 2025, AI is making huge decisions for us. But this power comes with serious hidden risks.
AI needs massive amounts of data to learn. Your data. How much of your private life is fueling the machine?
An AI is only as fair as the data it learns from. Flawed data creates unfair, biased decisions.
Imagine an AI denying you a job or a loan based on hidden bias. It's already a reality for some.
An AI car crashes. A medical AI fails. Who is at fault? The user, the coder, or the company?
The solution is demanding AI transparency. New tools and rules can help us see how decisions get made.
Building a better future with AI means putting human values first. It's a conversation everyone needs to join.