Using AI professionally: understand the risks, use the opportunity
Generative AI can accelerate professional work significantly. At the same time it introduces new failure modes and responsibility questions.
These risks are not an argument against AI. They are an argument for using AI professionally.
The risk of not using AI
The largest risk can also lie in not using AI sensibly out of fear of its risks. Organisations that avoid AI entirely give up speed, analytical capacity and new forms of knowledge work. Organisations that adopt AI unchecked create new operational and regulatory risks. The professional path lies in between: use AI — and make its results more controllable.
Thirteen failure modes
| Risk | What can happen | How KLARMASS can help | What KLARMASS cannot guarantee |
|---|---|---|---|
| 1 — Unsupported or invented assertions | A fluent, plausible statement has no basis in any source. | Identifies the statement as a checkable claim and records that no support is present in the document. | That every unsupported statement in a document is found. |
| 2 — Incorrect or weak source attribution | A source is cited that does not say what the text claims it says. | Retrieves the source and records the passages that actually speak to the claim. | That the retrieved source is itself correct or authoritative. |
| 3 — Obsolete information | A figure, rule or status was accurate at an earlier date and is used as current. | Records the information date of retrieved passages and exposes claims whose support is undated. | That every outdated statement is recognised as outdated. |
| 4 — Quantitative or contextual errors | A number is transferred, converted or aggregated incorrectly, or removed from its qualifying context. | Checks stated derivations deterministically and flags where a figure does not follow from the stated basis. | That all arithmetic or contextual errors are detected. |
| 5 — Source-scope mismatch | A narrow source is used to support a much broader statement. | Compares the scope of the cited source with the scope of the claim and raises a source-scope finding. | That every scope mismatch is identified. |
| 6 — Conflicting reputable evidence | Two credible sources say different things and the document presents only one. | Records conflicting passages side by side and marks the claim as contested rather than resolving it. | That the conflict can be decided by the system. |
| 7 — Missing evidence | A consequential statement is made without any evidence at all. | Makes the absence explicit and assigns an action rather than leaving a silent gap. | That absence of evidence means the statement is wrong. |
| 8 — Automation bias | People accept a machine result because it looks confident and well formatted. | Shows no confidence score, states coverage openly, and requires a human decision per open point. | That users will read the caveats. |
| 9 — Inadequate human review | A work product is approved without anyone checking its basis. | Separates maker and checker and records who decided what, and when. | That the review was substantively adequate. |
| 10 — Confidentiality and privacy risks | Confidential or personal content is processed in an environment not cleared for it. | States the current processing boundary explicitly and restricts use to synthetic, redacted or non-confidential material. | That an uploaded document actually contains no confidential content. |
| 11 — Legal and regulatory interpretation risk | A legal provision is cited for a consequence it does not carry. | Treats a legal provision as a proposition that must be checked separately from the consequence asserted around it. | Any assessment of legal correctness. KLARMASS does not provide legal advice. |
| 12 — Reputational and client risk | A client-facing deliverable carries a claim that cannot be substantiated when challenged. | Makes the evidence situation visible before the work product leaves the organisation. | That a substantiated claim will be accepted by the recipient. |
| 13 — Accountability and documentation gaps | Afterwards, nobody can reconstruct what a decision was based on. | Preserves claims, evidence, findings, decisions and reviewers per document version. | That the record satisfies a particular regulatory or contractual documentation duty. |
KLARMASS is not a complete risk-control system. It addresses part of the evidence and documentation problem; organisational, contractual and technical controls remain your responsibility.