Hiring & Screening
1 gain0 Traces5 problems
Every measured gain and problem on the record for this topic, newest first.Too few to weigh yet. Updated .
One square per record, darker for stronger evidence:Evidence: 0 high2 moderate4 emerging
6 records so far, too few to weigh yet. Is your study missing? Add it
0 records
No records of this kind in this topic yet.
AI in hiring and screening
A Trace is one record with both a gain and a problem, so it counts on both sides: 1 record shows a gain and 5 show a problem. 6 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 0 |
| ModerateA measured study or an official source | 0 | 2 |
| EmergingEarly, small, unreviewed or reported second-hand | 1 | 3 |
By type of evidence: 2 interview studies; 1 news report; 1 commentary or narrative review; 1 survey; 1 randomized trial. How evidence is scored
6 records so far, too few to weigh yet. A written summary appears once a topic has at least 20 counted records, with at least 5 on each side. Is your study missing? Add it
One founder reportedly met 11 senior candidates in a week and saved about Rs 1 crore in recruiter fees using AI tools, per a secondhand account on X; no hire is confirmed.
In four experiments with 4,439 people, employees described as using AI were rated lazier than those with no help or non-AI help, and managers who rarely used AI favored candidates who never used it.
In an Institute of Student Employers survey, 66% of respondents said at least one graduate had misused AI in an interview, and 92% suspected or confirmed misconduct overall, up from 85% and 78%.
An ethnographic study at one large international company found that introducing AI in hiring crowded out expert practices for judging fairness, leaving HR's own version of fairness as the dominant one.
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