AI Compass
Compass

Common pitfalls

The mistakes almost everyone makes once: taking invented statements, entering confidential material, trusting arithmetic, believing a confident tone.

·2 min read·By Redaktion KI-Kompass
DETAIL
4 sections

The seven most common mistakes

MistakeHow to spot itWhat helps
Invented citationIt looks perfectCheck each against the source
Wrong figureIt is plausibleRecalculate or use a tool
Confidential material enteredNoticed only laterSettle in advance which tool for what
A commitment in a draftIt sounds helpfulAlways check drafts containing commitments
Outdated statementNo date givenAsk for the state, demand a source
False premise adoptedThe question contained itCheck the question, not only the answer
Agreement instead of scrutinyIt sounds goodAsk explicitly for counter-arguments

Three habits that avoid most trouble

  • Before entering: would I send this to an external party without a contract?
  • After the result: which statement in it must be true, and how do I know?
  • Before passing it on: has a person read and owned it?

Why the tendency to agree is dangerous

Models are aligned to seem helpful. Raters prefer answers that agree and confirm. That leads a model to adopt the questioner's position even where it is wrong.

Counter-measure in the prompt:

First name the three strongest counter-arguments to my assumption.
Only then give your assessment.
If my assumption contains a false premise, say that first.

Checking without checking everything

At volume, checking everything is unaffordable. Instead:

  1. 01

    Always check the critical fields

    Amounts, deadlines, names, identifiers. That list is short and fixed.

  2. 02

    Sample the rest

    Ten percent, drawn at random, with a documented error rate.

  3. 03

    Route uncertainty out

    Whatever the system itself flags as uncertain always goes for review.

  4. 04

    Track the error rate

    If it rises, the sample does not shrink further. Without that number every review rate is guesswork.

  • Confidential material in unchecked tools. A breach of confidentiality or trade secret protection happens on entry, not on output.
  • Personal data without a legal basis. A draft is processing too.
  • Automated decision without review. Art. 22 GDPR bites even where nobody intended a decision.
  • Missing labelling. For published artificially generated content and for dialogue systems.
  • Unsupervised agents with write permissions. An error there is not a wrong answer but a wrong action.

Prompt injection in everyday use

As soon as a tool reads external content, such as a web page or a forwarded email, that content can contain an instruction aimed at the system. The protection is easy to state and hard to keep: read content is always data and never an instruction. Recipients, target addresses and amounts are never taken from read content. See Agents in depth.

The error log

FREE ACCOUNT

Error log for the first weeks

A sheet where every error found lands with its cause and its remedy, because after four weeks that is worth more than any guide.

Worksheet2 items

No password needed. We send you a sign-in link. An account does not subscribe you to anything. The newsletter is separate.

Was this page helpful?
Common pitfalls