
Recruitment Technology & AI
How AI is
Transforming Modern Recruitment
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Visual, Audio and Textual Based Analysis
As características aparentes, prosódicas e semânticas do candidato são extraídas de seus vídeos com técnicas de visão computacional, reconhecimento de fala e processamento de linguagem natural.

Canal visual para extração de características aparentes
Apparent features such as facial expression and gesture are implicitly extracted by computer vision technique.
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Audio channel for prosody feature extraction
Prosody features such as tonality, pace and rhythm are implicitly extracted by audio analysis technique
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Textual channel for semantic feature extraction
The syntactic and semantic meaning of candidate’s spoken texts are extracted by natural language processing technique with contextual awareness
Arquitetura do modelo de IA sem vieses da Neufast com patente pendente
Nosso modelo de IA sem vieses com patente pendente analisa de forma abrangente as características audiovisuais e semânticas com um esquema complexo de ponderação adaptativa orientado a tarefas para inferir a pontuação de impressão e a pontuação de potencial desempenho no trabalho do candidato.

Training of Debiased AI Model

Internal Governance of Developing Ethical AI Model
Governança interna do desenvolvimento de modelos de IA éticos. A Neufast adota a IA ética e a ética de dados na operação, no desenvolvimento e na aplicação da IA, seguindo as Diretrizes de Ética para uma IA Confiável publicadas pela Comissão Europeia em dezembro de 2018
Para garantir o desenvolvimento e o uso éticos da IA no recrutamento, o processo de anotação de dados e de desenvolvimento de modelos de IA da Neufast segue os 7 princípios éticos da IA para a governança interna de dados:
Responsabilidade
Supervisão humana
Transparency and Interpretability
Data Privacy
Fairness
IA benéfica
Reliability, Robustness and Security
Decisions made by Neufast's patent-pending Debiased AI are EXPLAINABLE, TRANSPARENT & FAIR as Personal Identifiable Information (PII) are redacted.

Preparação de dados
✔ No manipulation of the training data collection leading to a biased model in favor of some certain group
✔ No data preprocessing that changes the data distributions for different groups
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Model Building & Training
✔ All key aspects of the model building process are reviewed
✔ Salient numerical results are copied into the sheet
✔ All significant deviations from the standard model training process are well documented
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Model Testing
✔ Adverse Impact Assessment is done to evaluate if our trained AI model complies with the UGESP's four-fifth rule* with respect to different groups in either: Demography, Educational background or other groups defined by clients
Neufast's patent-pending Debiased AI systems are designed to be HUMAN-CENTRIC.
*Reference: Equal Employment Opportunity Commission, Civil Service Commission, et al. 1978. Uniform guidelines on employee selection procedures. Federal Register 43, 166 (1978), 38290–38315.
Assessment of Impression Performance
A ferramenta de avaliação em vídeo com IA sem vieses da Neufast, com patente pendente, avalia a capacidade do candidato de causar uma impressão positiva nos outros sob três perspectivas:

Self-confidence

Positive emotions

Composure

Assessment of Motivation
Neufast’s Debiased AI video assessment tool identifies candidate's motivation to initiate work-related behaviors for person-job fit & talent retention.
Assessment of Work Performance
Neufast’s competency model is built from cumulated studies on work performance. Candidates will be assessed through their task, contextual and adaptive performance.

Task Performance
Job and Role Responsibilities Leadership and Management Behaviors
Comprises job-specific behaviors which include accomplishing the role responsibilities and activities listed in in job description.
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Contextual Performance
Relationship and Communication
Comprises non-job specific behaviors that help maintain or improve the broader organizational, social or psychological environment necessary to facilitate task performance and achieving organizational goal accomplishments
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Adaptive Performance
Adaptation and Change
Comprises behaviors and attitude required to be flexible and be able to quickly adapt to dynamic work situations

Reliability Study
Our AI video assessment tool is highly reliable and accurate to our client’s internal rating. We analyzed the efficiency of our product by comparing our AI scores to HR (Client) internal rating:
Cronbach’s Alpha > 0.7 (out of 1) for reliability
0.3 - 0.6 (out of 1) positive Pearson correlation which is highly correlated to HR candidate ratings at p<0.05 significant level at competency-level.
F1 classification accuracy reaches up to 98% at competency-level.

Reference
1. Ethics Guidelines for Trustworthy AI, High Level Expert Group on Artificial Intelligence (HLEG), European Commission, December 2018.
2. Guidance on the Ethical Development and Use
of Artificial Intelligence, Office of the Privacy Commissioner for Personal Data, Hong Kong.
3. Neufast Limited United States Patent and Trademark Office Application Number 63/335,756; Confirmation No. 7481.

The Rise of Recruitment Technology
Recruitment technology has become a critical driver of efficiency and accuracy in modern hiring. As organizations scale and talent markets become more competitive, traditional recruitment methods are no longer sufficient to handle volume, speed, and quality simultaneously. This is where AI-powered recruitment solutions play a key role.
AI recruitment technology enables companies to automate repetitive tasks, analyze candidate data at scale, and gain deeper insights into hiring outcomes. From resume screening to interview evaluation, AI helps recruiters focus on strategic decision-making rather than manual processes.

How AI Improves Hiring Quality
One of the biggest advantages of AI in recruitment is consistency. AI-driven tools apply the same evaluation criteria across candidates, helping organizations reduce unconscious bias and improve fairness. Advanced algorithms can assess skills, communication patterns, and job relevance more objectively than traditional screening methods.
By integrating AI into recruitment workflows, HR teams can improve time-to-hire, enhance candidate experience, and make data-backed hiring decisions with greater confidence.
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