If you’ve ever used ChatGPT or seen an AI-powered face recognition tool in action, you’ve probably had the same question most of us do: How does it actually work? AI systems often operate like “black boxes” — we feed them input, and they give us results, but the logic in between remains hidden.
That’s especially unsettling when these systems are being used in serious areas like healthcare, law enforcement, banking, and hiring. When algorithms make decisions that affect real people, we need to be able to ask: Why did the system make this call?
That’s where AI transparency comes in — not just a buzzword, but a cornerstone of responsible AI.
