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HR AI evidence pack: four templates for AI in recruitment, selection and workforce management
The HR AI evidence pack bundles four templates with which an employer substantiates AI in recruitment, selection and workforce management under the AI Act and the GDPR: a classification note (prohibited practices, Annex III point 4 and Article 6(3)), a human oversight playbook (Article 26), transparency notices for applicants, employees and the works council, and an HR AI register with a bias check.
- Last checked against the law
- Editor
- Zahed Ashkara, jurist, privacy and AI
- Version and template ID
- 2.0 ·
praxikon:template:hr-ai-classification-note, praxikon:template:hr-ai-human-oversight-playbook, praxikon:template:hr-ai-transparency-notices, praxikon:template:hr-ai-use-case-register - Legal basis
- Regulation (EU) 2024/1689, as amended by Regulation (EU) 2026/1744; Regulation (EU) 2016/679 (GDPR)
Who is this template for?
- HR director or HR managerUses the system as employer and deployer and, for high-risk systems from 2 December 2027, carries the obligations in Article 26, including human oversight (paragraph 2) and informing workers and their representatives (paragraph 7)
- Recruiter or talent acquisition leadTests whether tools for job ads, CV screening and assessments fall under Annex III point 4(a), and whether a general-purpose AI assistant makes you a provider (Article 25(1)(c))
- Data protection officer or privacy officerAssesses automated decisions and the DPIA for the employer as controller (Articles 22 and 35 GDPR)
- Compliance officer or AI governance ownerRecords the classification in the AI register and monitors the prohibition on emotion recognition in the workplace (Article 5(1)(f), since 2 February 2025)
- Provider of HR softwareDocuments any reliance on Article 6(3) beforehand and registers the system (Article 6(4) and Article 49(2))
- Public-sector employerCarries out a fundamental rights impact assessment before first use of a high-risk system and registers the use (Articles 27, 26(8) and 49(3), from 2 December 2027)
What is inside
HR AI classification note (Word)
An HR AI classification note records, per system, whether AI used for recruitment, selection, evaluation or management of staff is prohibited, high-risk under Annex III point 4 of the EU AI Act, or neither. It tests, in a fixed order, the prohibitions, Annex III, the Article 6(3) exception and your organisation's role.
- How to use this template: the four-step test, with where each step stops
- Chapter 1, the system and its use: fields for the intended purpose (Article 3, point (12)), actual use, input, output and human involvement, plus the question whether it is an AI system at all
- Chapter 2, step 1 prohibitions: the verbatim text of Article 5(1)(f), a seven-question decision tree and six HR borderline cases, with what to do if a prohibition applies
- Chapter 3, step 2 Annex III point 4: the verbatim text of points (a) and (b), a table of what is and is not in scope, and freelancers, platform work and biometrics
- Chapter 4, step 3 Article 6(3): the legal text, the profiling rule with the GDPR definition, a decision tree and the four conditions applied to HR
- Chapter 5, step 4 your role: provider or deployer, the role shift under Article 25 and your separate role under the GDPR
- Chapter 6, consequences: obligations per role and date, Article 26 translated to HR, the GDPR and workers' representatives, supervision and maximum fines
- Chapter 7: seven fictional worked examples, from a CV ranker to voice analytics in a customer contact centre
- Chapter 8, the note: outcome per step with reasoning and evidence, conclusion, a ten-point checklist and adoption
HR AI oversight playbook (Word)
An HR AI human oversight playbook records who in your organisation oversees AI used for recruitment, selection and workforce management, with which powers, and when use stops. It works out Article 26 of the EU AI Act for the employer as deployer, alongside the provider's design requirements in Article 14 and Article 22 GDPR.
- Overview of what applies to HR AI and when, with the maximum fines in Article 99 (introduction)
- Test against Annex III point 4, the Article 6(3) exception, the prohibition of emotion recognition, your role and the transitional rule in Article 111(2) (chapter 1)
- Table of what the provider designs (Article 14) and what you do as employer (Article 26), with procurement questions (chapter 2)
- Model assignment decision for reviewers, model clauses on powers and protection, and a roles table (chapter 3)
- Work instructions for recruiter, hiring manager, HR adviser, line manager and AI system owner, with a sample check on rejected candidates (chapter 4)
- Four-level escalation ladder, a decision aid, clauses on suspending and reporting, and a model report to the provider (chapter 5)
- Model texts for workers and candidates and a checklist for the request to workers' representatives (chapter 6)
- Procedure for explanation requests under Article 86, with a model answer to a rejected candidate (chapter 7)
- Review log and an evidence table for each Article 26 obligation (chapter 8)
- Quarterly figures with signal thresholds (chapter 9)
- Worked fictional example of a CV ranking that disadvantages a group (chapter 10)
- Adoption, with the position of workers' representatives and the DPO's advice (chapter 11)
HR AI transparency notices (Word)
HR AI transparency notices are the texts an employer uses to tell applicants, employees and workers’ representatives that AI is used, for what, with which data and who decides. They follow from Articles 13, 14 and 22 GDPR, Article 50 of the EU AI Act and, from 2 December 2027 for high-risk systems, Article 26(7) and (11).
- All legal bases at a glance, with the role and date for each duty (introduction)
- A six-question decision tree: prohibited, high-risk, Article 50 or GDPR only (chapter 1)
- Examples per HR application and the rule for existing systems, Article 111(2) (sections 1.2 and 1.3)
- What every notice must contain, with timing and placement per audience (chapter 2)
- Explanation on request: Article 15(1)(h) GDPR, the SCHUFA and Dun & Bradstreet judgments and Article 86 (section 2.2)
- Seven notices for applicants, from vacancy and chatbot to the reply after rejection (chapter 3)
- Four notices for employees, including monitoring and the employee privacy notice (chapter 4)
- Notices for agency workers, seconded workers and self-employed professionals on a platform (chapter 5)
- Letter to the works council or workers’ representatives, with the Dutch consent rights as a worked example (chapter 6)
- What is prohibited: emotion recognition and biometric categorisation, and decisions without human review (chapter 7)
- Fictitious worked example and an overview of which notice is where (chapters 8 and 9)
HR AI register and bias check (Excel)
An HR AI register lists every AI use case in recruitment, selection and workforce management. For each one it records your role, the prohibited-practices test, the classification under Annex III point 4 of the EU AI Act and follow-up duties such as a FRIA, a DPIA and works council involvement. This workbook links the register to a bias check.
- About this template: fields for your organisation, seven steps for using the workbook and the citation
- Dashboard: counts that calculate themselves, in three groups (overview, red signals to resolve first, planning), each with its meaning and the next step
- Use cases: the register with one row per use case, five numbered test questions and a calculated classification, FRIA duty and status (green, amber, red or prohibited)
- Bias and data: eighteen checks per use case, each with its legal basis, the role that carries the duty and since or from when it applies
- Article 4a: whether you may use special categories of personal data for a bias check, with paragraph 1 or 2 and the six conditions
- Outcomes by group and Overrides: selection rates per group and how often people override the system, with calculated signals
- Action log: every finding with owner, deadline and status; a missed deadline turns red
- Duties by role: 24 duties under the AI Act, the GDPR, EU equal treatment law and national works council rules, with role and date (Dutch law as the worked example)
- Legal text: the verbatim text of Annex III point 4, Article 5(1)(c), (f) and (g), Article 6(3), Article 26(7) and (11), Article 86 and Article 4a
How to use the template
- Take one system at a time and, for a suite, one module at a time.
- In chapter 1, describe the intended purpose according to the supplier, verbatim and with its source, and the actual use in your organisation.
- Test the prohibitions first (chapter 2). A prohibition cannot be classified away.
- Then test Annex III point 4, the Article 6(3) exception and your role (chapters 3 to 5).
- Record the outcome in chapter 8, have it adopted and add it to your AI register.
- Test again after a new module, a new purpose, retraining on your own data or your own branding.
Common mistakes
- Relying on Article 6(3) while the system scores, ranks or matches candidates or employees. That is profiling, and the system then always stays high-risk.
- Testing only the module that is switched on now. A feature such as voice sentiment analysis of employees or candidates that can be switched on with one click falls under the prohibition on emotion recognition in the workplace.
- Assuming an employer is always only the deployer. Letting a general-purpose AI assistant select CVs, or supplying a high-risk tool under your own name, can make you the provider of a high-risk system (Article 25(1)).
- Waiting for 2 December 2027. The prohibition has applied since 2 February 2025, and the GDPR (Articles 22 and 35) and national works council rights apply now.
- Adopting the supplier's classification without requesting the Article 6(4) documentation and checking the registration.
Prefer to work online? Annex III classification check
When do you need legal advice?
- The system reads faces, voices or posture. Software that infers enthusiasm, stress or frustration from applicants or employees may fall under the prohibition in Article 5(1)(f). It has applied since 2 February 2025, to the provider and to you as deployer.
- Someone relies on Article 6(3). You or your supplier. The exception is not available where the system performs profiling, and the provider must document its assessment beforehand and register the system (Article 6(4), Article 49(2)).
- The tool is used other than intended. You let a general-purpose AI assistant rank CVs, train a matching model on your own data or supply the tool under your own name. You may then become the provider (Article 25(1)), with the obligations of Article 16.
Frequently asked questions
Is AI for recruitment always high-risk under the EU AI Act?
Systems intended for the recruitment or selection of natural persons are listed in Annex III point 4(a) and are high-risk in principle (Article 6(2)). The Article 6(3) exception only applies where the system meets one of four narrow conditions, poses no significant risk of harm and does not perform profiling. A system that scores or ranks candidates performs profiling and therefore stays high-risk.
May software recognise applicants' emotions in a video interview?
No. Since 2 February 2025 it has been prohibited to infer emotions of people in the workplace from biometric data such as face or voice (Article 5(1)(f)), except for medical or safety reasons. According to the Commission guidelines of 4 February 2025, job applicants are covered too. The prohibition binds the provider and you as deployer.
When do the high-risk obligations for HR AI apply?
For Annex III systems from 2 December 2027, the date set by Regulation (EU) 2026/1744. Systems placed on the market or put into service before then only fall under the rules if their design changes significantly afterwards; systems for public authorities must comply by 2 August 2030 (Article 111(2)). The prohibitions and the GDPR already apply.
Do we become a provider if recruiters paste CVs into an AI assistant?
That can happen. If your organisation uses a system not intended for recruitment to select or rank candidates, it becomes the provider of a high-risk system (Article 25(1)(c)). The Article 16 obligations apply from 2 December 2027; the GDPR, including Article 22 on automated decisions, applies now.
Do we need a FRIA or a DPIA for HR AI?
A fundamental rights impact assessment (Article 27) is required in HR only for bodies governed by public law and private entities providing public services, from 2 December 2027. A DPIA under Article 35 GDPR is often needed now, because profiling with significant effects and systematic monitoring of employees are typical high-risk processing.
Does the works council have a say?
For a high-risk system, from 2 December 2027 you inform workers' representatives and the affected workers before putting it into service (Article 26(7)). National law often adds rights now: in the Netherlands, for example, the works council must consent to arrangements on staff appraisal and on monitoring behaviour or performance (Article 27(1) of the Works Councils Act).
What does Article 26(2) of the EU AI Act require of the people who oversee HR AI?
The deployer assigns human oversight to natural persons who have the necessary competence, training and authority, as well as the necessary support. In HR this means they know the job requirements and the system's limitations, may disregard or reverse its outcome without permission, and have time to do so. For Annex III systems this applies from 2 December 2027.
Do we have to stop using the system if a group of candidates systematically scores lower?
If you have reason to consider that use in accordance with the instructions may result in the system presenting a risk to fundamental rights, such as equal treatment, Article 26(5) requires you to suspend use and inform the provider or distributor and the market surveillance authority without undue delay. Certainty is not required. Ongoing procedures continue manually.
When do these obligations apply to HR AI?
The Article 26 obligations apply to high-risk systems in Annex III from 2 December 2027 (Article 113, as amended by Regulation (EU) 2026/1744). Systems placed on the market or put into service before then are only covered if their design changes significantly afterwards; systems intended for public authorities must comply by 2 August 2030 (Article 111(2)). The prohibition of emotion recognition and the GDPR apply now.
Who is the deployer when a recruitment agency uses the system?
Whoever uses the system under its own authority (Article 3, point 4). If the agency uses the system under its own authority, the agency is the deployer; if you use the system yourself and the agency only supplies people, you are. Record in the contract who carries out the Article 26 obligations. Under the GDPR the employer is usually the controller.
Which authority do we inform of a risk if our member state has not designated one yet?
Member states designate their own market surveillance authorities for the AI Act. On 6 October 2026 the Netherlands, for example, had not yet designated one or adopted its implementing act. Inform the provider or distributor, record when you did so, and check at every review of the playbook whether the authority is known. A personal data breach is notified to your data protection supervisory authority within 72 hours, unless it is unlikely to result in a risk to individuals (Article 33 GDPR); that applies now.
May I adapt the template and share it within my organisation?
Yes. You may use, adapt and share this template freely, including within your organisation, provided the credit 'Source: Praxikon' with the link to this template stays in place.
Do I have to tell applicants that I use AI?
Yes. The GDPR already requires you as controller to explain which data you process and why, and for automated decisions also the logic involved (Articles 13 and 14 GDPR). From 2 December 2027 the deployer of a high-risk system under Annex III that makes or assists in making decisions about people must also inform them that they are subject to the system (Article 26(11)).
Since when does a chatbot for applicants need an AI notice?
Since 2 August 2026 (Article 50(1)). It is an obligation of the provider: if you buy in the chatbot, the supplier builds in the notice. If you build it yourself or put it into service under your own name, also on another party’s language model, you are the provider.
When must I inform the works council under the AI Act?
Article 26(7) applies from 2 December 2027 to high-risk systems under Annex III; that date follows from Regulation (EU) 2026/1744, in force since 27 July 2026. National rules on informing, consulting or obtaining the consent of workers’ representatives apply now and are not replaced by it.
May an AI system measure emotions in a video interview?
No. AI that infers the emotions of applicants or employees in the workplace has been prohibited since 2 February 2025, except for medical or safety reasons (Article 5(1)(f)). An automatic score on the content of the answers is not prohibited by Article 5, but it is a high-risk use under Annex III, point 4(a).
Can a rejected applicant ask how AI was used?
Yes. Under Article 15(1)(h) GDPR you as controller give understandable information about the logic involved in automated decision-making (CJEU 27 February 2025, C-203/22), within one month (Article 12(3) GDPR). For high-risk systems under Annex III, Article 86 adds a right to obtain from the deployer an explanation of the role of the system and the main elements of the decision. Notice 3.6 is a reply that meets both rules.
Is every AI use case in HR high-risk?
No. Systems intended for recruitment and selection (Annex III point 4(a)) or for decisions on terms of work, promotion, termination, task allocation or monitoring (point 4(b)) are in principle high-risk. A chatbot for general HR questions is not. A point 4 system that profiles people is always high-risk (Article 6(3), last subparagraph).
When do the obligations for high-risk HR AI apply?
For providers and deployers of Annex III systems, from 2 December 2027, as set by Regulation (EU) 2026/1744. A system placed on the market or put into service before then only falls under the rules if its design changes significantly afterwards; systems intended for use by public authorities must comply by 2 August 2030 (Article 111(2)). The prohibitions have applied since 2 February 2025 and the GDPR applies now.
Do we need a fundamental rights impact assessment (FRIA) for HR AI?
Only if, as deployer, you are a body governed by public law or a private entity providing public services, such as care, education or social services (Article 27 and recital 96), and the system is high-risk. You then carry out the FRIA before first use, from 2 December 2027. As controller, you often need a DPIA under Article 35 GDPR already.
May we use ethnic origin or health data to test for bias?
Since 27 July 2026 Article 4a has provided a legal basis for providers and deployers, but only where strictly necessary and all six conditions are met, such as that other or anonymised data do not suffice and that the data are deleted afterwards. The GDPR continues to apply. A bias check with these data is not mandatory.
What does a selection rate ratio below 0.8 mean?
The workbook then shows the signal 'Investigate': a group clearly gets a positive outcome less often than the reference group. The threshold comes from the US four-fifths rule and is not an EU or national legal standard. It is a reason to investigate, not proof of discrimination, and with fewer than 30 people per group the ratio says little.
Do we need to involve the works council?
From 2 December 2027, as a deployer who is an employer, you inform workers' representatives and the affected workers before a high-risk system is put into service or used at the workplace (Article 26(7)). National law often goes further: in the Netherlands, for example, the works council must consent to schemes on recruitment, appraisal, personnel data and monitoring (Article 27(1) Works Councils Act), and it can invoke the nullity of a decision taken without its consent within one month.
Use and credit
You may use, adapt and share this template freely, including within your organisation, provided the credit 'Source: Praxikon' with the link to this template stays in place.
How to cite this template: Source: Praxikon, HR AI evidence pack: four templates for AI in recruitment, selection and workforce management, version 2.0, as of 6 October 2026, https://www.praxikon.com/en/templates/hr-ai-evidence-pack
This template is a tool, not legal advice for your situation. It reflects the law as of 6 October 2026. Legislation, guidance and supervisory practice may change after that date. Using this template does not guarantee compliance: applying it in your organisation remains your own responsibility.
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