Assign an intelligible operation, examine data and grounds, separate drafts from action and identify actual acceptance of the version.
Questions explored
Must everything be done personally to keep one’s judgement?
No. Assistance can be used with understanding of a version and its grounds; personally typing it also establishes no verification.
Does asking whether everything is correct count as checking?
A repeated answer alone is not independent confirmation. Compare substantial values, qualifications and sources with the actual task.
When should AI use be limited?
When substantial facts lack grounds, suitable examination is unavailable, data transmission conditions are unsuitable or action lacks permission. Sometimes the limit concerns only part of the work.
Key distinctions
A bounded operation can be assigned to AI when its result is intelligible and suitable examination is available. (United Wisdom original editorial argument; bounded philosophical and official technical context, not a provider quality or legal responsibility claim)
Access to material creates no grounds to pass it to any system or expand its use. (United Wisdom original editorial argument; bounded philosophical and official technical context, not a provider quality or legal responsibility claim)
A plausible answer and repeated assurance do not replace factual sources or checking qualifications. (United Wisdom original editorial argument; bounded philosophical and official technical context, not a provider quality or legal responsibility claim)
Preparation, permitted action and actual acceptance differ; one’s judgement needs understanding of its grounds. (United Wisdom original editorial argument; bounded philosophical and official technical context, not a provider quality or legal responsibility claim)
Limits of interpretation
- Ordinary editorial work; not firing instructions, legal assessment or universal allocation of blame.
- A particular service’s properties, data retention and terms are not established here and need their own current examination.
- Stoic texts do not predict AI; voluntary NIST documents establish neither the practice’s success nor a product’s quality.
Sources
- Epictetus, Enchiridion I — Epictetus; Thomas W. Higginson translation
Actual selected continuous context and metadata read before writing: Complete I web lines 123–127; title/translator/edition 8–46; catalogue https://www.gutenberg.org/ebooks/45109 lines 34–50
Source use: PUBLIC_DOMAIN_US_NON_US_UNKNOWN
- Seneca, Letter 33.7–11 — Seneca; Richard M. Gummere translation
Actual selected continuous context and metadata read before writing: Complete continuous 33.7–11 web lines 113–120; collection https://en.wikisource.org/wiki/Moral_letters_to_Lucilius metadata 124–138
Source use: UNKNOWN_EDITION_AND_NON_US_RIGHTS
- NIST AI RMF 1.0, Appendix C — National Institute of Standards and Technology
Actual selected continuous context and metadata read before writing: Complete Appendix C printed pages 40–41, physical PDF indices 44–45, web lines 1281–1336; current framework page https://www.nist.gov/itl/ai-risk-management-framework overview lines 125–143 actually read
Source use: OFFICIAL_PUBLICATION_WORLDWIDE_RIGHTS_NOT_ASSERTED
- NIST Generative Artificial Intelligence Profile, 2.2 Confabulation — National Institute of Standards and Technology
Actual selected continuous context and metadata read before writing: Complete main 2.2 web lines 239–268 on physical PDF page index 9/printed 6; selected MAP 2.3 action MP-2.3-001 web lines 1011–1015 and MS-2.5-003 web line 1309 also actually displayed/read; footnote 9–10 web lines 273–275 displayed
Source use: OFFICIAL_PUBLICATION_WORLDWIDE_RIGHTS_NOT_ASSERTED