Can AI Answers Be Trusted? A Plain-Language Guide to Fact-Checking Information
AI tools can answer questions, summarize texts, and explain complex topics in seconds. But a fluent, confident answer does not always mean it is correct. At times, AI fabricates information, cites sources that do not exist, or gets names, dates, and statistics wrong.
According to Ambassador Arjan, these errors become more important when preparing reports, publishing news or making medical and financial decisions. Therefore, it is good to know how artificial intelligence makes answers and how to check the correctness of its information.
How does artificial intelligence generate answers?
Many text assistants use large language models. These models learn language patterns by examining large volumes of text and generate responses based on user requests.
This process is not the same as directly searching an encyclopedia or automatically checking the accuracy of all claims. The model may write a coherent answer about a historical event, but misspell the name of the person, the date of the event, or the connection between the two events. For this reason, a distinction must be made between producing fluent text and providing accurate and verified information.
"AI Hallucination" is a state in which the system generates false or fictitious information and presents it in a form that appears to be valid. This error may include incorrect statistics, bogus citations, or missing article and source names.
Possible reasons for these errors are:
incomplete or outdated information available on the model;
the vagueness of the question or the lack of information;
Responding without independent review of claims;
Changing information over time, especially about laws and events of the day.
Asking a tool the same question again or asking for confirmation of an answer does not by itself prove it correct. To be sure, the evidence and sources should be checked separately.
Which answers need further investigation?
The more serious the consequences of the mistake, the more accurate the answer should be. In particular, check the following:
names of people, organizations, books and scientific articles;
history of historical and contemporary events;
Claims related to new events;
Links and resources that AI introduces.
In the field of news, the publication of a false claim may damage the credibility of the media and spread misinformation among the audience.
Four criteria for evaluating response validity
Verify that the referenced source actually exists and that its content supports the intended claim. Merely mentioning the name of an organization or a web address does not make the answer valid.
Check the answer for internal inconsistencies and inconsistencies with other information. Of course, the coherence of the answer alone does not prove its correctness.
Important claims must be traceable with evidence; Such as a research paper, primary document, official report or notification of the responsible body.
Information about laws, statistics and current events is subject to change. Check the publication and update date of the source and make sure the information matches the time you are looking for.
A step-by-step guide to verifying an AI answer
Step 1: Separate the main claims
Extract names, dates, statistics, and important conclusions from the answer. It is easier to evaluate specific claims than to evaluate a long text as a whole.
Step 2: Go to primary sources
If the answer refers to an official report, find the original version of the report. To review a scientific study, refer to the published article or the publisher's website, not just the abstract or reprint.
Step 3: Compare the information with independent sources
The sameness of multiple websites does not necessarily constitute independent verification; All of them may have republished the news from a common source. Whenever possible, find sources that have reviewed or published the information separately.
Step 4: Ask the AI for an explanation or source, but don't stop the investigation
You can ask the tool to explain the basis of the answer or possible sources. Then check the existence and content of each source yourself; The tool may misrepresent the source or create a reference that is not genuine.
Fifth step: In the absence of evidence, do not state the claim definitively
If a reliable source cannot be found or the evidence is insufficient, remove the claim, continue the investigation, or clarify the uncertainty. Lack of evidence to support a claim should not be compensated for with certainty or a confident tone.
Can artificial intelligence be trusted?
The degree of trust depends on the type of application, the quality of the tool and the sensitivity of the subject. For ideation, drafting or proofreading, artificial intelligence can be a useful assistant. But in medical diagnosis, interpretation of laws, investment analysis or news release, human review and reference to reliable sources are more important.
The simple rule is: the more serious the consequences of a mistake, the more rigorous the verification should be.
The difference between trusting artificial intelligence and verifying the answer
Confidence is how much we trust the answers of a tool. This trust may be formed by experience of use, quality of responses and type of application. For example, we may trust a tool's ability to summarize a text, but not accept its answer about a new law without checking.
Verification is the process of verifying the correctness of a particular answer or claim using evidence and reliable sources. If the AI provides a statistic about the unemployment rate, it should be compared to the official report of the issuing agency, and the number, date, and impression provided should be weighed.