Institutional Failure to Defend Truth?

Data analytics screen showing information verification process

Let’s stop pretending this is under control.

We’ve entered a world where artificial intelligence can spin entire realities faster than we can blink. Fake experts, fake quotes, fake stories — dressed in the polished language of authority — circulate freely, shaping opinions, influencing votes, and distorting truth. And while UNESCO warns us that “AI can make mistakes,” I can’t help but ask: where are the institutions that are actually doing something about it?

We have conferences, guidelines, hashtags, and “awareness weeks.” Meanwhile, AI is already rewriting the informational DNA of our world. Every day, new models churn out content that looks right, feels right, and is utterly wrong — and we, the humans, consume it, share it, and build our beliefs around it.

Critical thinking is being left behind. Education systems are frozen in legacy models, teaching with materials that took ten years to approve, while misinformation evolves every ten seconds. The platforms profiting from this chaos talk about “responsibility” but sell attention. Institutions publish frameworks but avoid action that might cost them convenience, reputation, or funding.

This isn’t a moral issue — it’s a survival issue. If we can’t tell truth from noise, how can we govern, innovate, or even agree on what’s real?

At TiiQu, we built QuTii — a non-profit truth library — because we believe the antidote to AI’s confident nonsense isn’t censorship or panic; it’s fidelity-first knowledge. Verified, question-based, and directly traceable to original research. Not viral content. Not guesswork disguised as wisdom.

But we can’t do it alone. We need knowledge partners — from academia, research institutions, and policy circles — and supporters from the third sector and from the wider public, willing to help make their findings accessible in ways that match today’s speed without losing integrity.

So, to the institutions still issuing statements instead of taking a proactive stance, here’s my question: If not you, then who? And if not now, when?

AI can make mistakes. But continuing to look away — that’s ours.