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Updated: Apr 25, 2026

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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
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A call to join a collective effort on AI evaluation
1Evals-Consensus.AI Coalition, San Bruno, CA, United States.
Patterns (New York, N.Y.)
|April 24, 2026
Summary
Developing community-endorsed guidance for artificial intelligence (AI) evaluations is crucial. This study introduces a Delphi process to create standardized practices for AI evaluation across sectors, fostering trust and responsible deployment.
Area of Science:
- Artificial Intelligence
- Computer Science
- Ethics
Background:
- AI evaluations are critical for deployment, governance, and trust.
- Current expectations for AI evaluation practices are fragmented.
- A need exists for standardized, community-endorsed guidance.
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