Recommended Free Tools
Disclose AI use by stating what work it affected, what the tool did, and what you personally reviewed, changed, or validated. First check the rules that apply to your employer, client, role, industry, jurisdiction, and deliverable: there is no universal requirement in the sources cited here to disclose every AI-assisted workplace task. Keep an accurate, accessible record in an approved location, and do not enter sensitive or non-public information into an unapproved public AI tool.
Check which rules apply before you disclose
Disclosure expectations may come from an employer, client, regulator, funder, publisher, or partner organization. Find the relevant policy or ask the appropriate manager, compliance contact, or client contact when the rule is unclear. Requirements can vary with the work and its context; NIST’s AI Risk Management Framework Playbook treats legal and regulatory obligations as context-dependent, not as a single rule for all AI use. NIST AI RMF Playbook: Govern
As an Amazon Associate I earn from qualifying purchases.
Guidance written for one setting should not be mistaken for a workplace-wide mandate. For example, CDC’s recommendations address scientific work and defer to applicable organizational and partner requirements. They can inform a clear disclosure at work, but they do not establish a universal employment rule. CDC, Considerations for Disclosing Generative AI Use in Scientific Work
What a useful disclosure should say
For substantive AI assistance, identify the affected work and describe the tool’s role and your own. CDC’s scientific-work guidance organizes disclosure around “Content Affected + Action Taken + AI Tool + Purpose of AI Use + Human Oversight.” Applied at work, that means stating what you used AI for and what you did to review or validate its output—not implying that the tool did work you performed, or that you checked something you did not.
#1 Best Overall
- Work affected: Name the deliverable, task, or sections involved.
- AI action and purpose: Say whether it drafted, edited, summarized, generated code, or supported another task, and why you used it.
- Tool details: Include the tool and model or version when available and relevant.
- Your contribution and oversight: Describe what you supplied, selected, revised, checked, or validated. Take responsibility for the final work.
PBGC’s internal generative AI policy is one agency-specific example: it requires users to review AI output and remain accountable for official work. It is not a rule for every employer. PBGC Generative AI Policy and Guidance
A practical disclosure example
Adapt this wording to the facts and the applicable policy:
I used [tool and model/version, if known] to [action] on [specific work or sections] for [purpose]. I reviewed [what you checked, changed, or validated] and remain responsible for the final result.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
For example, if an approved tool helped refine a report’s wording, say which portions it affected and whether you reviewed and revised the suggestions. Do not claim human review or validation unless you actually did it. CDC publishes a sample statement for scientific manuscripts, but its wording is intended for that context rather than as a mandatory workplace template.
Document your contribution in a retrievable record
Use the recordkeeping method your organization approves. NIST recommends organizational policies for AI documentation and appropriate storage and access procedures; the sources here do not prescribe a personal log, notebook, or universal form for every employee. A useful record for substantive assistance can capture:
- the date and work item or deliverable;
- the AI tool and model or version, if available;
- the task and portions of the work affected;
- your inputs, selections, revisions, and review or validation steps;
- the final disclosure, if one was required, and where it was provided.
Keep only what policy and the work require. For code, analysis, or other methodological work, preserve prompts, settings, inputs, and validation details when they are needed for reproducibility and permitted by security requirements. CDC discusses this in the context of scientific work; apply it elsewhere only where appropriate.
Protect sensitive and non-public information
Do not put sensitive, protected, or otherwise non-public information into a public AI service unless your organization has approved that use and the applicable safeguards are in place. CDC warns against entering such data into public AI tools, while NIST recommends connecting AI governance with data governance, particularly for sensitive or higher-risk information. Use approved tools and approved storage locations for both the AI work and its documentation.
Understand the limits of legal disclosure rules
EU AI Act Article 50 transparency obligations apply from August 2, 2026, according to European Commission materials. Those materials describe requirements concerning marking AI-generated content and labeling deepfakes and certain AI-generated text publications that inform the public on matters of public interest, subject to conditions. The Commission describes its Code of Practice as a voluntary compliance tool; that does not make the underlying legal obligations voluntary. These requirements should not be read as a general duty for employees to disclose every internal AI-assisted task. Check the exact rules applicable to your jurisdiction, output, and role. European Commission: Code of Practice on Transparency of AI-Generated Content European Commission guidelines on transparency obligations
The U.S. Department of Labor’s AI Literacy Framework says workers should use their expertise, context, and discretion to interpret, use, or revise AI-generated content. That supports documenting your actual contribution; it does not prescribe a disclosure template. U.S. Department of Labor, AI Literacy Framework
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
