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Source assessmentSupporting

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems

Transparency in robotic systemsAcademicdocument

Assessment outcome

total 2/4 (actionability 2 + authority 0); currency unscored, so pro-rated to 3.0/6

Total2/6
Actionability2/2
Authority0/2
Currency—

Authorship & scope

Attribution (G4 evidence)

Authored by Ahmad Farooq and Kamran Iqbal.

Issuer authority (evidence)

Level 0: Authored by individual academic practitioners in conference proceedings without peer review status established in text.

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

Eligibility gates

G1 · Retrievablepass

HTTP 200, 4564 words of full text extracted

G2 · AI nexuspass

The paper focuses directly on artificial intelligence and robotic systems.

G3 · Governance nexuspass

It addresses ethical alignment, transparency rules, and safety-critical oversight for AI.

G4 · Attributablepass

Authored by Ahmad Farooq and Kamran Iqbal.

G5 · In forcepass

There is no evidence on the page that this version has been superseded, withdrawn, or repealed.

Scored criteria

Actionability

2/2

Level 2: Names specific obligations and controls like integrating transparency considerations from the earliest stages of design.

Integrating transparency considerations from the earliest stages of robotic system design, making it a fundamental requirement rather than an afterthought, is essential

Authority

0/2

Level 0: Authored by individual academic practitioners in conference proceedings without peer review status established in text.

Ahmad Farooq and Kamran Iqbal. 2025. Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems. In 2025 3rd International Conference on Robotics, Control and Vision Engineering (RCVE 2025)

Currency

—

computed: no publish/modified date found on the page (never guessed)

Classification

Coverage topicTransparency in robotic systems
PerspectiveAcademic
Lifecycle stage1 Plan & design
Layerboth
Granularitydocument