EU AI Act 2024/1689
    Transparency Statement

    AI Disclosure & Transparency

    How our AI-supported recruitment and matching features work, what data they use, how we keep humans in the loop, and what rights candidates and employers have.

    Last updated: May 2026

    1. Regulatory Context

    Blockchain4Talent designs its AI-supported recruitment and matching features with the requirements of Regulation (EU) 2024/1689 (the EU AI Act) in mind. AI systems used in employment, recruitment, screening or evaluation of candidates may qualify as high-risk AI systems under Annex III of the AI Act, depending on how they are used by the deploying organisation.

    This page describes the AI-supported features we provide, how they should be used, and how we work to reduce risks for candidates, companies and recruiters.

    AI outputs are recommendations only. No candidate is automatically accepted, rejected or finally ranked by Blockchain4Talent’s AI system. Final decisions are always made by human recruiters or hiring managers.

    2. What AI Features We Use

    CV parsing

    Extracting structured information (experience, education, skills, links) from uploaded CVs to help build and update candidate profiles.

    Job description analysis

    Identifying required skills, seniority and other characteristics in job descriptions to support matching and search.

    Match scores

    Producing an indicative compatibility score between a candidate profile and a job description.

    Skill summaries & chat

    Summarising candidate profiles and answering natural-language questions from companies and recruiters about available talent.

    AI-generated summaries, match scores and chatbot responses are labelled in the interface as AI-generated or AI-assisted, so users can clearly distinguish them from information entered by humans.

    3. What Data Is Used

    Our AI features work on the data that candidates, companies and recruiters provide to the platform: profile information, uploaded CVs, job descriptions, search queries and chat messages. We do not scrape unverified external sources to build candidate profiles.

    Where third-party AI processors are used to deliver specific features (for example, language-model providers for parsing or summarisation), this is done under contractual safeguards. User-submitted profiles and chat logs are not used to train public third-party AI models.

    4. What the AI Output Means

    Match scores, summaries and recommendations are indicative. They reflect the AI’s estimate of relevance based on the information available, and they can be incomplete or inaccurate. They are not predictions of job performance, personality or suitability, and they do not represent a final assessment of a candidate.

    5. Human Oversight

    Our platform is built so that human users keep meaningful control over decisions:

    No automated decisions

    The platform does not automatically advance, reject or finally rank candidates on the basis of AI output. These actions require a human user.

    Override and review

    Recruiters and hiring managers can ignore, adjust or override AI recommendations at any time, and review the underlying profile information directly.

    6. Candidate Rights and Review Requests

    Candidates can view and edit the information that feeds into the AI features through their profile. If you believe an AI-generated output (such as a match score or summary) is significantly inaccurate or unfair, you can contact us at compliance@blockchain4talent.com to request a human review. You also retain your statutory rights under the GDPR, including the right to object to profiling based on legitimate interests.

    7. Employer and Recruiter Responsibilities

    Companies and recruiters that use Blockchain4Talent must not rely solely on AI-generated match scores when assessing candidates. AI output should be used as one input among others, in combination with human judgement, interviews and the candidate’s own information.

    Employers and recruiters remain responsible for their own recruitment practices, including compliance with applicable employment, equal-treatment and data-protection laws, and for any deployment-specific obligations they may have under the EU AI Act.

    8. Bias Monitoring and Data Quality

    We are aware that AI systems used in recruitment can produce biased or discriminatory outcomes if not carefully designed. We work to reduce the risk of discriminatory outcomes by limiting the features that feed into matching, focusing on skills and experience, avoiding sensitive attributes as inputs where possible, and reviewing our models and data sources over time.

    9. Logging, Monitoring and Incident Handling

    Inputs and outputs of AI features are logged for security, debugging and quality purposes, and to support investigation of issues. If we identify a serious malfunction or incident involving our AI features that could have a significant impact on individuals, we will take appropriate action and, where applicable, notify the relevant competent authority (such as the Dutch Rijksinspectie Digitale Infrastructuur).

    Questions or concerns about AI features can be sent to compliance@blockchain4talent.com.