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Policies and internal rules · Policy and notice · Legal

AI and Algorithm Notice to Workers, Candidates and Representatives

Algorithmic management policy and written notice templates informing workers, candidates and their representatives about the AI and algorithms that decide on their work or application: parameters, rules, effects and how to request an alternative or accommodation.

GROU LLC · built on AI Business Core, by Vreinn · · How we verify sources

Who it helps

Employers and platforms using algorithms to hire, assign tasks, evaluate, schedule, set pay or dismiss.

Who uses it
HR, employment counsel, worker representatives and management
Usual owner
HR; legal
Formats
DOCX, PDF
Languages
Español, English
Approximate length
8 pages
Length
Standard. A complete policy, procedure, plan or guide, with roles, deadlines and evidence.
Document type
Policies and internal rules. Rules your organization approves and staff follow: what is allowed, what is not and who decides.
Document code
APG-LEG-007. APG is the AI Policy Generator collection, LEG the area (Legal) and the number identifies the document. Use it to cite the document in your document system.

Preview

Excerpt generated from the document: the "How to use this document" section, the title and the first two sections, plus the full table of contents. The rest of the text is not shown.

APG-LEG-007 · Version 1.1.0 · sources as of November 4, 2026

How to use this document

  • Use it to set how [ORGANIZATION NAME] informs workers, candidates and their representatives about the algorithms and AI systems that make or influence employment decisions, and to deliver that information with notice templates and a delivery log.
  • HR usually owns it, supported by employment counsel and the DPO or privacy function.
  • Before adopting it, the organization should decide which systems go into the inventory in section 3, who can review decisions on request, and the internal deadlines for answering requests.
  • Complete section 3 for each system and adapt the templates in section 10 to each one. A generic notice that does not explain the specific system adds little.
  • Keep the country variants where you have workers or candidates and delete the rest. In the United States, the variant depends on the city or state.
  • Ask your employment advisor to review the policy and notices before delivery, especially where there is collective bargaining, a collective agreement or a digital labor platform.
  • Have leadership approve the policy, deliver it to worker representatives where they exist, and keep evidence of every delivery in the log in the implementation aids.

AI and Algorithm Notice to Workers, Candidates and Representatives

1. Purpose and scope

1.1. [ORGANIZATION NAME] uses algorithmic and artificial intelligence systems in some employment-related decisions. This policy sets what information is given about them, to whom, when and how, and what the people affected can request.

1.2. It applies to every system, in-house or from a vendor, that makes or supports decisions on:

  • recruitment and hiring, including reading, scoring or ranking applications and analyzing interviews;
  • assignment of tasks, routes, orders or customers;
  • working time, shifts and schedules;
  • pay, incentives, bonuses or penalties;
  • performance evaluation, promotion and training;
  • control or monitoring of activity;
  • discipline, suspension or deactivation of accounts and termination of employment.

1.3. It applies to employees, candidates and, where the law provides, people who work through digital platforms even if they are not employees.

2. Commitments

2.1. Inform before use. No system covered by this policy goes live, or is materially changed, without first informing worker representatives and the people affected under this policy.

2.2. Explain, not just mention. The information describes the parameters, rules and instructions the system is based on and how it affects decisions. Referring to the law or the collective agreement is not enough. Handing over the code or the model is not necessary.

2.3. Real human involvement. Decisions that restrict, suspend or end the relationship, or that affect pay, are made or reviewed by a person with the authority and training to change the outcome.

2.4. Non-discrimination. Systems are tested for direct and indirect bias, and variables that act as proxies for protected characteristics are not used.

2.5. Data limits. Systems are not used to infer workers' emotions or psychological states, to process private conversations or data outside working time, or to predict the exercise of rights such as union membership.

2.6. No retaliation. Requesting information, an explanation, human review, an alternative or an accommodation never has negative consequences for the requester.

Full table of contents of the document:

  • 1. Purpose and scope
  • 2. Commitments
  • 3. Systems covered
  • 4. Questions the information must answer
  • 5. When information is given
  • 6. How information is given
  • 7. Requests from the people affected
  • 8. Information and consultation with representatives
  • 9. Evidence retention
  • 10. Notice templates
  • Country variants
  • Implementation aids
  • Related regulatory references
  • Version history

Rules in the registry whose obligations relate to this base document, based on our reading of the sources. It does not mean they apply to you.

Chile

Colombia

Spain

European Union

Mexico

New York (incl. NYC)

Illinois

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