The 3 Areas of HR AI
HR work suits AI-ification but is the area with the highest discrimination/bias risk. Careful design is needed.
1. Hiring
Document Screening
- Structure work history from resumes
- Fit score against job requirements
- Comparison with similar candidates
Caution: an architecture that excludes protected attributes (sex, age, nationality) from AI input is essential so it doesn't discriminate. Penalties exist under US EEOC and various national laws.
Interview-Question Generation
- Generate individual questions from the job description + candidate profile
- STAR-method (situation, action, result) questions
- Auto-create case-study problems
Interview Records and Summary
- Summary + strength/weakness list from interview recordings
- Integrate multiple interviewers' evaluations
- Emotion/speech analysis (caution: discrimination risk)
Improving Candidate Experience
- Earlier decision notice (automation, but human final approval)
- Creating rejection feedback (template + personalization)
- Instant response to candidate questions via AI chat
2. Evaluation
1on1 Summary
1on1 recording → summarize with AI. From manager's memory-reliance to data accumulation.
- Visualize frequent topics
