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Related Experiment Videos

Human-AI Interaction in High-Stakes Contexts: Child Welfare Professionals' Perceptions of AI Integration.

Ayşe Özçiçek1

  • 1Department of Guidance and Counseling Psychology, Ibn Haldun University, Başakşehir.

Journal of Evidence-Based Social Work (2019)
|June 18, 2026
PubMed
Summary

Child welfare professionals see artificial intelligence (AI) as helpful for tasks but not decisions, prioritizing human judgment. Responsible AI integration requires collaboration and training for ethical use in child welfare services.

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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Area of Science:

  • Social Sciences
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background:

  • Understanding early perceptions of artificial intelligence (AI) is crucial in high-stakes fields like child welfare.
  • Prior research often overlooks professional attitudes towards AI before formal organizational adoption.
  • Early perceptions inform acceptable AI use, trustworthiness, and human-centered design.

Purpose of the Study:

  • To explore child welfare professionals' perceptions of AI in a setting with individual use but no formal institutional systems.
  • To identify how professionals view AI's utility and limitations in their practice.
  • To understand the conditions for trustworthy AI integration in child welfare.

Main Methods:

  • Conducted semi-structured interviews with 23 child welfare professionals in Turkey.
Keywords:
Artificial intelligencehigh-stakes contextshuman–computer interactionprofessional decision-makingresponsible AItechnology acceptance

Related Experiment Videos

  • Utilized reflexive thematic analysis in MAXQDA for data analysis.
  • Employed an abductive analytic approach informed by the Unified Theory of Acceptance and Use of Technology.

    • Main Results:

    • Professionals found AI useful for administrative and problem-solving tasks.
    • Concerns were raised regarding cognitive dependence and emotional unease with AI.
    • Professionals established clear boundaries for AI in decision-making, emphasizing human ethical reasoning and judgment.

    Conclusions:

    • AI acceptance in human services depends on perceived usefulness, ethical considerations, and preserving human judgment.
    • Context-sensitive approaches are vital for AI integration in child welfare.
    • Responsible AI adoption necessitates collaboration among practitioners, organizations, and policymakers.