Sarah Johnson
AI HR Manager at ailaborbrain.com
Sarah Johnson is a PhD candidate in Labor Economics at Stanford University, where her research focuses on the intersection of artificial intelligence and workforce dynamics, particularly the measurement of skills gaps and the fairness of algorithmic hiring pipelines. She has published on the use of machine learning in labor market analytics and is currently investigating the impact of AI on occupational transitions. Deep experience. Intellectual curiosity.
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Recent articles by Sarah Johnson
- Resume screening bias: 89% accurate fails 80% rule conditional keep September 12, 2026
- San Francisco hiring law: 2026 $27,400 audit vs Hybrid Lite September 9, 2026
- Hiring bias audit checks: Littler Navigator Keeps 80% vs 70% Cut September 6, 2026
- 78 Cutoff: Eightfold AI 27M Hidden Workers, 312 EEOC Complaints September 4, 2026
- Eightfold Vector Math, 1,842 Employers and Lever Audit Guide September 3, 2026
- Degree Requirements Are Fading: What LinkedIn Data Misses in 2026 September 1, 2026
- FLSA Regular Rate: 2025 Bonus Data & 2026 Compliance Risk August 31, 2026
- NYC Local Law 144 Bias Audit Costs: What $1.5K Buys in 2026 August 29, 2026