Hidden AI in Documents

A document does more than present information. It tells a customer what is included, a colleague what to do or a technician which work has been agreed. Improving the wording should make that meaning easier to understand not quietly change it.

This book helps you judge more than whether a draft reads well. Discover how an old proposal can bring the wrong service into a new offer, how shortening can remove an important condition and how working notes can become firmer statements than the evidence supports. You will understand what needs comparing before the document is accepted, shared or reused.

• Understand which text and reference material an assistant has to work from and why an open document is not proof that every part was considered.
• Recognise when a rewrite changes an exclusion, responsibility or commitment rather than simply improving the style.
• Distinguish the current agreement from an old proposal, a layout example or an amendment still awaiting approval.
• Know what to consider before accepting and sharing a draft, including internal information, the intended readers and what the AI service retains.

An assistant working inside a document may not have considered every part of it. A paragraph being rewritten could depend on an exclusion in an appendix or a condition in another file. Seeing the document open on screen does not establish which material the assistant processed.

Accepting the wording also does not establish that the right person approved what it says. Someone allowed to tidy a proposal may not be allowed to offer extra work. Once the document is saved and shared, however, customers and colleagues may follow it without knowing that an important statement began as an unchecked suggestion. Copying that statement into the next document carries the problem forward; it does not make the statement true.

Extract from Hidden AI in Documents, “What people miss when they just trust AI”.

Russell Parrott is a plain-English writer exploring hidden AI in everyday business tools. He investigates what AI does, what information it draws on and what it can recommend, communicate or change as a result.

He finds where AI is operating inside the tools a business already uses and explains what information it can use and what it recommends, communicate or change as a result. His books turn that research into independent plain-English explanations.