身边的经济学·社会常识英语30篇（9）

13 / 30

算法招聘如何重塑劳动力市场信号

Many companies now use software to screen job applicants before human review.
These algorithms analyze resumes, language patterns, and even video interviews for predicted performance.
While they aim to reduce bias, they sometimes reinforce historical hiring inequalities instead.
Firms adopting such tools often report faster hiring but narrower candidate diversity.
Workers with nontraditional backgrounds may struggle to 'match' algorithmic keyword filters.
Regulators are beginning to require transparency about how these systems make decisions.
Such automation changes not only who gets hired but also how skills are valued across industries.
Job seekers increasingly tailor resumes to pass software scans rather than human readers.
This shift raises questions about fairness when economic opportunity depends on machine-readable formats.
Ultimately, labor markets evolve not just through wages but through the logic embedded in hiring tools.