NCBI PubMed Central
open access
The guarded engagement loop: risk salience and interaction-driven underperformance in generative AI adoption.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Analyzing the Writing Style of Generative AI when Prompted with Writing Samples#212230
- Accuracy of Training Data and Model Outputs in Generative AI: CREATe Response to the Information Commissioner’s Office (ICO) Consultation#818474
- Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs#483885
- Discipline-Specific AI literacy (DiSAIL): a theoretical framework for situated engagement with generative AI in education#299127
- “Generative AI literacy across education and business: competencies, obstacles, and benefits—a systematic literature review”#233626
Record · ID 345289
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive