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AI and Academic Administrative Integrity

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AI and Academic Administrative Integrity

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About this activity

Evidence-based report quiz

Created by

ANGELIE UNTALAN
ANGELIE UNTALAN
Philippines

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AI and Academic Administrative Integrity
 

AI and Academic Administrative IntegrityOnline version

Evidence-based report quiz

by ANGELIE UNTALAN
1

What is the primary purpose of using LeapSpace in the report on AI and academic integrity?

2

Which facet is essential for maintaining integrity when employing AI in administration?

3

What is a key risk to academic integrity from AI tools in administration?

4

Which practice supports reproducibility in an AI-assisted report?

5

What should be included to avoid plagiarism when using AI-generated content?

6

In evaluating AI outputs for integrity, which approach is recommended?

7

Which governance measure boosts ethical use of AI in administration?

8

What role does human oversight play in AI-assisted administrative decisions?

9

Which data practice supports integrity when using AI for reports?

10

What is a sign of a robust evidence-based AI report?

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LeapSpace is used to aid evidence collection and analysis, not to replace researchers or fabricate data.

Transparency ensures stakeholders understand how AI decisions are made and what data underpin them.

AI can propagate bias and mishandle sensitive data if not properly controlled.

Reproducibility requires clear documentation of sources, methods, and configurations.

Citing AI contributions maintains academic honesty and proper attribution.

Independent verification helps ensure accuracy and reduces error propagation.

A formal framework provides consistent standards and accountability.

Humans should review and interpret AI results, especially in edge cases.

De-identification and consent protect privacy and uphold ethics.

A robust report acknowledges both strengths and limitations of AI.

 
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