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1. Is AI fairer than humans?
The impartiality of AI judges
While AI leads us to believe that it is immune to human emotions and external pressures, it is not entirely impartial. It is also influenced by the data used in its development and the values of its designers, which is why it is essential to ensure its reliability and transparency.
- Limitations of AI
- AI is influenced by the values of the designer and the data used
- It cannot be completely objective
- Ensuring AI's credibility
- Need procedures to verify transparency and trustworthiness
- High technical difficulty in implementing "explainable AI.
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Genesis Lab's AI Interviewing
In 2019, Genesis Lab developed Viewer HR, an AI-based video interviewing solution that various companies and government organizations utilize. The AI interviewer has met rigorous evaluation criteria to ensure human-like fairness and reliability.
- Using Viewer HR
- Used by large enterprises, public companies, and government organizations
- Contributes to talent discrimination
- AI interviewer validation
- Proven to be reliable due to Genesis Labs' efforts
- Ensure fairness by providing sufficient evaluation evidence
As you can see, AI fairness and Genesis Lab's development of AI interviewing technology involve technical and ethical challenges. Still, it also demonstrates the promise of AI solutions that aim for high levels of reliability and transparency. Properly utilized, AI can contribute to building fairer and more efficient systems in many areas of our society.
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2. Making AI transparent
The importance of real-world interview data
AI technology relies on high-quality data to learn and make decisions effectively. Genesis Lab's 4 million interview video data provides vast information corresponding to the interviewers' years of experience. This data is vital in training AI to respond and make judgments in real-world interview situations.
- The importance of data scale
- Genesis Labs utilizes video data from 4 million real-world job interviews.
- That's the lifetime know-how of 220 interview experts.
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Developing an unbiased AI assessment system
Genesis Labs uses multiple validation steps to minimize bias in the AI's learning process from data. This increases the accuracy of AI assessments and ensures that decisions are made confidently.
- Our approach to minimizing bias
- Initial evaluation by human experts followed by independent re-evaluation by AI
- Only consistent data is used for final training.
- Validate bias by having humans rate the duplicate interview footage multiple times.
- Behavioural Event Interview (BEI) competency assessment
- Verify applicants' competencies through structured questions
- Additional verification through competency evaluation indicators from the Korea Management Association (KMA)
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Highly Reliable Assessment Results
Genesis Lab's AI assessment system is more valid than traditional recruitment tools and consistently demonstrates the reliability of AI interview results. This is a significant advantage of integrating AI technology into the hiring process.
- Performance prediction validity
- AI interviews have correlation coefficients between 0.5 and 0.6
- Higher predictive validity than in-person interviews, resume analysis, or personality tests
- Consistency of evaluation criteria
- Professionals who disagree with the evaluation criteria are excluded from the evaluation process.
- Ensure reliability by establishing consistent evaluation criteria.
Genesis Lab's systematic and advanced AI technology maximizes the fairness and efficiency of the interview process, improving the quality of hiring decisions by adopting AI technology.
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Prevent fraud with AI supervisors.
AI interviewing solutions have built-in features to minimize the chances of cheating in contactless interviews. Genesis Labs' Viewer HR performs real-time facial comparisons with profile photos and checks for answer matches between candidates to detect fraud. These technologies help prevent fraud and ensure a reliable interview process.
- Fraud detection features
- Profile photo matching: Compare an interviewee's natural face to their profile photo to prevent proxy testing
- Answer matching: Analyze the similarity of answers between candidates to detect the use of canned answers
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The Importance of Explainable AI
Genesis Labs provides transparent evaluation criteria and specific evaluation metrics to validate that the AI interviewer's decisions were reasonable. This helps the interviewer clearly understand the AI's judgment and make a final decision.
- Explainable AI
- Visualize behavioural metric impact zones within interview scripts
- Specific explanation of interview results in terms of factors and - factors
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Viewer HR in action
GenesisLab's AI interviewing solution is widely used by over 150 large enterprises and public organizations, and here's why.
- Customer Survey Results
- Reliability (21%): The accuracy and reliability of AI is a crucial reason for adoption
- Cost-effectiveness (12%): It is economically efficient
- Customized solutions
- Tailoring the talent picture to each client's specific needs
- Transparent, accurate and personalized candidate selection for a broad customer base
GenesisLab's systematic AI development process and fraud prevention capabilities greatly enhance the reliability and efficiency of our AI interviewing solutions. These features provide a significant advantage in integrating AI into the HR process and help us meet the diverse needs of our clients.
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Genesis Lab's AI Reliability Assessments and Certifications
To prove the reliability of its AI, Genesis Lab went beyond simple self-assessment and customer reviews to pursue official certification. This was done to meet recognized evaluation standards both domestically and internationally and was officially recognized by passing rigorous audits by the Ministry of Science and ICT and the Korea Telecommunications Technology Association (TTA).
- Achievements in AI Reliability Assessment
- Challenges and successes of the TTA's AI Reliability Assessment, the first of its kind in HR, in 2022
- Passed a total of 13 requirements and 41 verification items with perfect scores
- Key points of the TTA assessment
- Due diligence on data management system and management system
- Comprehensive verification of the reliability of data collection and management, efforts to eliminate model bias, ability to defend against external attacks, and measures to address ethical issues, etc.
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Certification
Certifications and awards from the Ministry of Science and ICT
Genesis Lab's efforts and achievements soon led to significant results. In November 2023, we were awarded the highest honour, the Minister of Science and ICT Award (Grand Prize), at the 1st Artificial Intelligence Reliability and Quality Award hosted by the Ministry of Science and ICT. This award signifies that Genesis Labs has successfully passed private and public AI reliability cross-verification.
- Public process
- Grand Prize from the Ministry of Science and ICT
- Acted as a partner in domestic AI standardization work
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Contributing to the transparency of AI technology
Genesis Labs contributes to the transparency of AI technology in Korea through official certifications and awards. These processes play an essential role in enhancing the credibility of domestic AI technologies and laying the foundation for them to become globally competitive. Genesis Lab's success has also increased its value as a trusted technology partner for companies and organizations using AI.
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All the Story Pakcs
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Write 이건한 (Digital Daily, Reporter)
Original Content 대기업이 택한 'AI 면접관' 개발 비하인드 [스토리팩-제네시스랩①]
Review & Edit Leo (Genesis Labs, Marketing)