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Source assessmentContext only

LegalAIze: Tackling the Normative Challenges of Artificial Intelligence and Robotics Through the Secondary Rules of Law

normative challenges of artificial intelligenceAcademicdocument

Assessment outcome

total 0/4 (actionability 0 + authority 0); currency unscored, so pro-rated to 0.0/6

Total0/6
Actionability0/2
Authority0/2
Currency—

Authorship & scope

Attribution (G4 evidence)

Ugo Pagallo is explicitly named as the author of the chapter.

Issuer authority (evidence)

Level 0/insufficient: An academic book chapter published by Springer; does not meet binding law or official agency threshold.

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

Eligibility gates

G1 · Retrievablepass

HTTP 200, 2521 words of full text extracted

G2 · AI nexuspass

The source is an academic chapter specifically focused on legal and normative challenges of artificial intelligence and robotics.

G3 · Governance nexuspass

The text directly addresses legal governance, regulatory rules, responsibility, and risk management regarding AI technologies.

G4 · Attributablepass

Ugo Pagallo is explicitly named as the author of the chapter.

G5 · In forcepass

There is no indication on the page that the publication has been retracted, repealed, or superseded.

Scored criteria

Actionability

0/2

Level 0: Description or analysis only; the quote describes a legislative aim rather than setting a binding obligation.

the aim should be to prevent this threat of legislators making individuals think twice before using or producing AI and robots

Authority

0/2

Level 0/insufficient: An academic book chapter published by Springer; does not meet binding law or official agency threshold.

New Technology, Big Data and the Law. Perspectives in Law, Business and Innovation. Springer, Singapore

Currency

—

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

Classification

Coverage topicnormative challenges of artificial intelligence
PerspectiveAcademic
Lifecycle stageN/A cross-cutting
Layerboth
Granularitydocument