Can you trust AI answers? A verification method
No by default, yes under conditions. Trust should be calibrated by stakes: brainstorming and reformatting tolerate error, health, law and money do not. Four-step method: assess the stakes, demand sources, verify critical facts in a primary source, consult a professional for any important decision.
Not by default, yes under conditions. A generative AI produces plausible answers, sometimes accurate, sometimes wrong, without distinguishing between the two. Trust is therefore not given as a whole: it must be calibrated according to the stakes of the question. For brainstorming, reformulation, or an idea, an error is harmless and trust can be broad. For a health, legal, or financial decision, an error can be costly and verification becomes mandatory. The method consists of four steps.
Step 1: assess the stakes
Ask yourself what an error would cost you. Nothing serious for a draft text. A lot for a medication dosage, a tax amount, a legal deadline. The higher the stakes, the stricter the verification must be.
Step 2: demand sources
Ask the AI what it bases its answer on. A cited source must actually exist and say what it claims. Be wary of precise but unverifiable references, the favorite territory of fabrications.
Step 3: verify in the primary source
For law, consult Legifrance and EUR-Lex. For government services, service-public.fr. For a statistic, the originating body: INSEE, DARES, or similar. Do not settle for a source that merely copies without citing.
Step 4: consult a professional for important decisions
No AI replaces a doctor, a lawyer, a notary, or an advisor. For a consequential decision, AI prepares the thinking, the professional validates it.
A mistake to avoid
Do not confuse confidence with accuracy. An AI that answers without the slightest hesitation is not right because of it. Confidence is a property of style, not a guarantee of truth.
Frequently Asked Questions
Is an AI connected to the internet more reliable?
Often on recent facts, since it can cite sources, but it may misinterpret them. Still verify.
How many sources to validate?
For an important matter, at least two independent and reliable sources, including the primary source if possible.
Can I trust AI on simple topics?
On stable, well-documented facts, reliability is good, but the verification reflex remains healthy as soon as stakes rise.
ICIA Resource
ICIA offers MentivisOS ICIA, a free lifelong platform to learn AI with a personalized learning path.
Discover MentivisOS ICIA