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Legal and Ethical Implications of Data Privacy in Artificial Intelligence: A Review of Data Privacy Among Learners in Kenyan Secondary Schools

Data privacy in AI educationAcademic

Assessment outcome

total 3/6 (actionability 0 + authority 1 + currency 2)

Total3/6
Actionability0/2
Authority1/2
Currency2/2

Authorship & scope

Attribution (G4 evidence)

No evidence recorded for this source.

Issuer authority (evidence)

No evidence recorded for this source.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

Passed in screening.

G2 · AI nexuspass

Passed in screening.

G3 · Governance nexuspass

Passed in screening.

G4 · Attributablepass

Passed in screening.

G5 · In forcepass

Passed in screening.

Scored criteria

Actionability

0/2

No rationale recorded.

This study explored the legal and ethical implications of data privacy in AI applications within Kenyan secondary schools, focusing on the unique challenges faced in this context.

Authority

1/2

No rationale recorded.

1 Journal of the Kenya National Commission for UNESCO Kenya National Commission for UNESCO is ISO 9001:2015 Certified Legal and Ethical Implications of Data Privacy in Artificial Intelligence

Currency

2/2

No rationale recorded.

Classification

Coverage topicData privacy in AI education
PerspectiveAcademic
Lifecycle stageN/A cross-cutting
Layerboth
GranularityNot recorded