70/100

Moderate evidence

Trace: a gain and a problemPublished recordLaborThe Trace

ALGORITHMIC DETERMINISM VERSUS HUMAN AGENCY: A SYSTEMATIC REVIEW AND META-ANALYSIS OF ARTIFICIAL INTELLIGENCE AND HR ANALYTICS IN ORGANIZATIONAL DECISION-MAKING

Truvace record
TRV-2026-2716raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
sha256
8d841b1a3e5c…check it

The emergence of Artificial Intelligence (AI) and HR Analytics has transformed the epistemology and practice of organizational decision making. In this paper, we conduct one of the most thorough systematic reviews and meta-analysis to empirically explore the impact of data-driven technology on decision quality, organizational performance, and employee outcomes. Utilizing 85 publications and theories of algorithm-automated decision-making (AST) and matching/hybrid models (STS), we analyze the algorithm-automated…

58Gain side

How the two sides scoreClose call

61Problem side

The gain

A meta-analysis of 85 publications on AI and HR analytics found algorithmic management in gig-platform work correlated with efficiency at 0.42, the strongest link of any setting it examined.

The problem

A meta-analysis of AI and HR analytics found algorithmic management in gig-platform work correlated negatively with employee well-being and job satisfaction (-0.25), despite its efficiency scores.

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

What this doesn’t fix

The studies vary widely (I² = 74%), so the average effect does not hold equally across contexts, and the findings are correlational associations between AI use and outcomes.

Sources

1 on file
  1. Peer-reviewed2026-01-02

Cite this record

v1

Truvace Impact Record TRV-2026-2716, v1: “ALGORITHMIC DETERMINISM VERSUS HUMAN AGENCY: A SYSTEMATIC REVIEW AND META-ANALYSIS OF ARTIFICIAL INTELLIGENCE AND HR ANALYTICS IN ORGANIZATIONAL DECISION-MAKING.” Truvace, 2026-11-12. /record/TRV-2026-2716 (accessed on the day you copy it). sha256 8d841b1a3e5c93ac…

Change history

1 version

Every change made to this record since it was first published, and why. Nothing has changed since it went up.

  1. Publishedv18d841b1a3e5c…

    Certified into the record

Check this record hasn’t been altered

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2716 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.