From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The abstract describes a systematic review of empirical research on AI use at work, organized across individual, group, and organizational levels and covering human-AI collaboration, capability perceptions, worker attitudes, algorithmic management, and labor-market implications.
Scope: publisher-deposited abstract metadata observed 2026-08-20
The review organizes evidence on AI at work across individual, group, and organizational levels, including collaboration, capability perceptions, worker attitudes, algorithmic control, and labor-market implications.
Scope: abstract-level
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (6)
- The myopia of learning
- Exploration and Exploitation in Organizational Learning
- Flexing and floundering in the on-demand economy: Narrative identity construction under algorithmic management
- Algorithms at Work: The New Contested Terrain of Control
- Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
- When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions
Cited by (11)
- AI‐Augmented Leadership: How, Why, and When Leaders' Collaboration With AI Enhances Team Performance
- How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision-Making Processes and Decision Quality in Team–AI Collaboration
- The Acceleration of Artificial Intelligence: Rethinking Organization and Work in an Era of Rapid Technological Change
- Gain or Pain: The Double‐Edged Sword Effect of Artificial Intelligence Adoption on Employee Service Performance
- The Dark Side of Managing Human–AI Collaborations: Implications for Leaders’ Moral Relativism and Unethical Behaviour
- Algorithmic surveillance and workers’ compliance: The role of trust, privacy concerns, and fairness in online crowdwork
- Algorithmic management in the gig economy: A systematic review and research integration
- Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control
- When AI Becomes My Teammate: Unpacking How Employees Perceive and Collaborate With Gendered AI Teammates
- Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review
- Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Crossref public API abstract-level evidence only; full text was not inspected.
- The public abstract does not state the review-corpus denominator.
- Publisher HTML was not inspected after a representative Wiley DOI page returned HTTP 403.
- Crossref metadata only; full text was not inspected.
- The publisher surface was not queried after the lane’s quarantined dynamic-challenge response; no independent publisher-page verification was attempted.
Source independence
publisher-only