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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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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Artificial Intelligence for Oversight: AI in Continuing Professional Development Accreditation.

Dr Graham T McMahon1

  • 1Dr. McMahon: President and CEO, Accreditation Council for Continuing Medical Education, Chicago, IL; and Adjunct Professor of Medicine and Medical Education, Northwestern University Feinberg School of Medicine, Chicago, IL.

The Journal of Continuing Education in the Health Professions
|December 22, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance continuing professional development (CPD) oversight by improving efficiency and data integration. Responsible AI implementation by accrediting bodies is crucial for maintaining trustworthy and credible CPD systems.

Keywords:
CPDaccreditationartificial intelligence

Related Experiment Videos

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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Area of Science:

  • Health Professions Education
  • Artificial Intelligence
  • Regulatory Science

Background:

  • Continuing professional development (CPD) oversight is critical for ensuring trustworthy and unbiased health professions education.
  • The application of artificial intelligence (AI) in CPD oversight is an underexplored area.

Purpose of the Study:

  • To examine potential applications of AI in accreditation oversight for CPD.
  • To analyze how AI can support efficiency, consistency, and insights in regulatory functions.
  • To emphasize the necessity of human judgment and governance in AI-assisted oversight.

Main Methods:

  • Synthesis of current literature and professional guidance.
  • Analysis of AI applications in regulatory functions of accrediting bodies.
  • Examination of opportunities and risks associated with AI in CPD oversight.

Main Results:

  • AI can screen reaccreditation materials, identify high-risk activities, synthesize trends, link data, and assess responsible AI use.
  • Potential benefits include increased efficiency and data integration.
  • Challenges include accuracy, equity, transparency, security, and public trust.

Conclusions:

  • Accrediting systems can model responsible AI use to advance professional learning and safeguard CPD integrity.
  • Responsible AI integration requires principles of accountability, transparency, equity, and security.
  • AI can enhance oversight efficiency and trustworthiness, reinforcing global CPD credibility.