AI & terminology

OSHA 300 and 301 Data Privacy for AI Tools

Strip names and identifying details before 300 or 301 data goes into an AI tool; Part 1904 requires it for disclosures outside the permitted recipients.

Updated 4 min readBy 300log Editorial Team
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Bottom line

Strip names and identifying details before 300 or 301 data goes into an AI tool; Part 1904 requires it for disclosures outside the permitted recipients. Privacy concern cases need the tightest handling, and vendor data terms decide whether a tool should see case data at all.

AI workflows add value only when privacy and source control are designed first.

What the rule requires

Part 1904 does not mention AI, but it is clear about responsibility: the employer decides whether a case is recordable, and a company executive certifies the 300A (29 CFR 1904.32). A tool can summarize facts or flag gaps; it cannot certify, and it does not change who is accountable. The privacy rules in 1904.29(b)(10) also apply to anything you paste into another system: if you voluntarily disclose the forms to anyone other than employees, their representatives, or government representatives, you must remove names and other identifying information, with narrow exceptions for safety consultants you hire, claims processing, and certain public health or law enforcement uses.

Where AI helps, and where a person decides

  • Good uses: drafting intake questions, summarizing redacted notes, spotting missing facts, checking a draft description for identifying detail, and preparing review checklists.
  • Needs a person: the recordability decision, the column and day counts, privacy case classification, and anything that goes on a certified or submitted form.
  • Never: certifying the 300A, or sharing names, medical details, or privacy concern cases with a tool whose data handling you have not reviewed.

What to look for

Redact unnecessary identifiers and keep human review over classification and disclosure decisions. AI answers sound confident whether or not the facts support them, and recordability often turns on a detail the model never saw. The fix is to let AI draft and check, never decide: a person makes the recordability call from the source documents and records the basis.

Whatever you use should make these easy to keep and retrieve:

  • The source documents the decision rests on, not the AI summary alone
  • The human reviewer and the date of the decision
  • Which fields were shared with the tool, and that identifiers were removed
  • Corrections made where the draft was wrong

How to evaluate your options

  1. Limit the fields you share.
  2. Redact sensitive data.
  3. Ask for gaps, not decisions.
  4. Keep the final decision in the case record.

Privacy officers should map exactly which fields leave the organization and which stay internal, and review free text as well as structured fields.

What to watch for

Keep these in mind when you compare approaches:

  • Teams paste full medical narratives into AI tools to get a quick recordability answer.
  • Privacy concern cases and detailed 301 fields need tighter handling than public summaries.
  • Vendor terms matter: know whether text you submit is stored or used for training before you share case details.

Paper, spreadsheet, or software?

Whatever you choose, name one source of truth for each establishment and make every form, rate, and ITA file come from it. Most recordkeeping failures come from two records of the same case that disagree.

A worked example

Before asking an assistant to check a draft description, a coordinator replaces “Maria Lopez, night pharmacy tech, stuck by needle used on patient in room 412” with “employee, needlestick from used needle”. The assistant's suggestion is reviewed, and the final wording is chosen by the coordinator in the case record.

Where 300log fits

300log keeps the decision with your team: cases are classified and reviewed by people, in your own workspace, with the 301 facts next to each log entry.

Frequently asked questions

Can AI certify the 300A?

No. A company executive certifies the 300A based on their own knowledge of the recording process.

Can AI decide whether an injury is OSHA recordable?

It can help gather and organize facts, but the employer makes the recordability decision under Part 1904 and remains responsible for it.

Can we paste OSHA 301 details into an AI tool?

Only after removing names and other identifying information, as Part 1904 requires for voluntary disclosures outside the permitted recipients, and after checking the vendor's data terms.

Sources

Primary regulation and agency guidance this article relies on.

  1. [1]29 CFR 1904.29 privacy concern case requirementsOccupational Safety and Health Administration · osha.gov(opens in a new tab)
  2. [2]29 CFR 1904.29: OSHA Forms 300, 300A, and 301Occupational Safety and Health Administration · osha.gov(opens in a new tab)
  3. [3]29 CFR 1904.7: General recording criteriaOccupational Safety and Health Administration · osha.gov(opens in a new tab)

Written and reviewed by the 300log Editorial Team. Guidance, not legal advice: confirm edge cases with OSHA or counsel.

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From guide to log

Keep the log, the 301s and the 300A in one place

300log turns each case into its OSHA 300 Log entry and 301 report, keeps privacy cases off the shared log, totals the 300A and files it with OSHA's ITA for you as soon as you authorize it.