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Parenting Journal · Volume 1 · Issue 3 · Licensed source edition

Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity

Originally published 2023-04-20 · Behavioral Sciences
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/bs13040344 ↗

TrustOnline hypothetical-scenario experimentCC BY 4.0
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AI / system type

Transparent versus opaque AI decision agents

Workplace evidence

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

The AI connection

System or context examined: Transparent versus opaque AI decision agents. The source-specific system and study design determine what can be inferred.

Why this reading matters

The reading brings transparent versus opaque AI decisions and employee threat appraisals into a concrete discussion of humane work during technological change. It offers online hypothetical-scenario experiment evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is transparent versus opaque AI decisions and employee threat appraisals. Source setting or population: 375 participants with work experience. Parenting and child-development outcomes are not inferred from the workplace evidence.

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

Editorial reading guide · Trust

What information would help me judge an AI decision instead of simply accepting it?

This online hypothetical-scenario experiment examines transparent versus opaque AI decisions and employee threat appraisals. Its TRICK home is Trust, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

375 participants with work experience

Age / stage: Adult workplace context; no child age range inferred

Read with three questions

  1. What information would help me judge an AI decision instead of simply accepting it?
  2. What do this study’s design and population — 375 participants with work experience — allow you to infer about another workplace?
  3. When considering transparent versus opaque AI decisions and employee threat appraisals, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

A hypothetical experiment measures responses to scenarios, not sustained trust or wellbeing during a real organizational rollout.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Liangru Yu; Yi Li; Fan Fan (2023). Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity Behavioral Sciences. https://doi.org/10.3390/bs13040344

Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.