Recruitment Technology & AI
How AI is
Transforming Modern Recruitment
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Visual, Audio and Textual Based Analysis
Candidate’s apparent features, prosody features and semantic features are extracted from his/her videos based on computer vision, speech recognition and natural language processing techniques.
Visual channel for apparent feature extraction
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
Neufast Patent-pending Debiased AI Model Architecture
Our Patent-pending Debiased AI model analyzes the audiovisual and semantic features in a comprehensive way with complex task-oriented adaptive weighting scheme to infer candidate’s Impression Score and Potential Work Performance Score.
Training of Debiased AI Model
Internal Governance of Developing Ethical AI Model
Internal Governance of Developing Ethical AI Model Neufast embraces Ethical AI and data ethics in the operation, the development and the application of AI following Ethics Guidelines for Trustworthy AI published by the European Commission in December 2018
To ensure the ethical development and use of AI in Recruiting, the data annotation and AI model development process of Neufast follows the 7 Ethical Principles of AI for internal data governance:
Accountability
Human Oversight
Transparency and Interpretability
Data Privacy
Fairness
Beneficial AI
Reliability, Robustness and Security
Decisions made by Neufast's patent-pending Debiased AI are EXPLAINABLE, TRANSPARENT & FAIR as Personal Identifiable Information (PII) are redacted.
Data Preparation
✔ 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
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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
Neufast’s patent-pending Debiased AI video assessment tool assesses candidate’s capability in making a positive impression on others through three perspectives:
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.
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.
Not Promises--Proof
Loved by HR Leaders Across the World
Carlsberg Asia Group
6-Month Pilot Success: Carlsberg Asia Group Signs 2-Year Partnership with Neufast
The internal user survey result of the 6-month pilot is overall positive especially for the Neufast AI pdf assessment report. We are very happy and satisfied with the performance of this online video interview platform. We signed a two-year contract. Really appreciate your support and assistance in our partnership.
Frequently Asked Questions
Everything You Need to Know About Neufast
