Fairtalk is an interview application that designs and asks the best questions and evaluates responses against clear, objective criteria. 24/7. Never distracted or biased. Always polite and engaged. The results of this structured interview serve as input for the live conversation at the table.
AI-generated, skills-based and role-specific questions are asked to every candidate in the same sequence. AI supports standardized scoring. The outcome provides objective input for the recruiter’s or assessment professional’s interview.
Eliminate unnecessary and costly evaluation errors from your hiring process.
Match people to work based on their skills and bring more talent to the table.
Maximize predictive validity while minimizing the risk of discrimination.
Wees altijd bereikbaar voor een gesprek, ook ‘s avonds en in het weekend.
Do not exclude talent based on characteristics that do not matter.
Use the power of AI to optimize your recruitment process.
The Fairtalk structured interview improves the validity of selection by 30%. Its predictive validity is 0.51 (Sackett et al., 2023). By comparison: personality tests 0.25, traditional interviews 0.38. Fairtalk’s structured interview is designed in accordance with the guidelines of the NIP (Dutch Institute of Psychologists).
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The AI Act is a strong European response to the challenge of responsible use of artificial intelligence. Since our start in 2024, Fairtalk has embedded the implications of this legislation in our product: we explain clearly what the AI does and why, and ensure that a human remains accountable for every decision. AI should support, objectify and simplify – not take control.
The AI Act focuses on the following themes.
Companies must assess AI-related risks, minimize discriminatory effects and errors, and ensure transparency.
Companies must be clear about AI Act systems, explain how they operate and what data they collect. This includes transparency about the algorithms used and how they work.
EHuman oversight is required to ensure AI-supported decisions are accurate and fair.
Companies must ensure high-quality, unbiased AI data and protect user privacy in line with GDPR requirements.
As of 2 February 2025, organizations must ensure that users have the skills, knowledge, and understanding needed to deploy AI systems effectively.
Knowledge hub
A lab study on the effectiveness of structured methods to improve fairness for ethnically and culturally diverse applicants.
Key requirements for psychological assessment tools and why they also apply to responsible AI use.
How the shift to skills-based organizations is supported by business trends and research findings.