← Kindness · 20 readings

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

Impact of artificial intelligence and work digitalization on mental health and occupational well-being: a scoping review

Originally published 2026-06-01 · Frontiers in Public Health
Frontiers Media SA · DOI 10.3389/fpubh.2026.1857108 ↗

KindnessScoping review of scientific and grey literatureCC BY 4.0
Ask this paper · Find source passages →

AI / system type

AI, algorithmic management and broader workplace digitalization distinguished in the source

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: AI, algorithmic management and broader workplace digitalization distinguished in the source. Algorithmic management/control is not assumed to be machine learning or generative AI.

Why this reading matters

The reading brings AI-specific and wider digital risks to worker mental health into a concrete discussion of humane work during technological change. It offers scoping review of scientific and grey literature evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is AI-specific and wider digital risks to worker mental health. Source setting or population: 43 sources on adult workers: 23 scientific articles and 20 grey-literature documents. 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 · Kindness

What should a workplace check before calling digital transformation good for wellbeing?

This scoping review of scientific and grey literature examines AI-specific and wider digital risks to worker mental health. Its TRICK home is Kindness, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

43 sources on adult workers: 23 scientific articles and 20 grey-literature documents

Age / stage: Workplace literature or conceptual analysis; no single child age range

Read with three questions

  1. What should a workplace check before calling digital transformation good for wellbeing?
  2. What do this study’s design and population — 43 sources on adult workers: 23 scientific articles and 20 grey-literature documents — allow you to infer about another workplace?
  3. When considering AI-specific and wider digital risks to worker mental health, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

Evidence is heterogeneous and includes broader digitalization; the review explicitly separates AI-specific exposures from other digital work changes.

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.

Opening the verified paper and agent…

Checking the article identity, license record, and saved source text.

Open the repository record

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.

Óscar Rabasa-Martín; Begoña Martínez-Jarreta (2026). Impact of artificial intelligence and work digitalization on mental health and occupational well-being: a scoping review Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1857108

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.