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Scaling AI With Adaptive Governance

Identification

Public canonical key
doi:10.63383/lvmh6418
Authors
Gianvito Lanzolla · Margherita Pagani · Christopher Tucci
Reported year
2026
Reported language
en
Source type
article
First detected
2026-11-10T13:56:29.689845+00:00
Last metadata observation
2026-11-10T13:56:29.689979+00:00
Last HTTP verification
Not checked

Documentary abstract — original language

As organizations adopt diverse flavors of AI more widely and scale applications across the enterprise, managing new risks that arise in the development process or during application use becomes increasingly complex. New and adaptive forms of governance must be put in place and systematically embedded across processes so that companies can gain the benefits of moving quickly with AI innovation without exposing themselves or stakeholders to harms.

Identifiers

OPENALEX
W7163260176
DOI
10.63383/lvmh6418

Documentary context

Documentary family
Scholarship
Source-reported types
article

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

Documented bibliographic relations

Source-declared references and links; they do not establish legal support or UGLC qualification. Up to 20 outgoing references are displayed.

  • openalex:w4317748910 · CITES
  • openalex:w7124691801 · CITES

0 incoming references within the detected corpus

Documentary field provenance

Source-backed values and values with unresolved provenance are kept separately. Bibliographic provenance validates no legal claim.

Title
Documentary source reported
Publication
Documentary source reported
Authors
Documentary source reported
Document type
Documentary source reported
Jurisdiction
Not recorded
Court
Not recorded
Issuing authority
Not recorded
Publisher
Not recorded
DOI
Documentary source reported
ISBN
Not recorded
Official identifier
Not recorded
Source URL
Documentary source reported
Source-reported status
Not recorded
Amendment / repeal
Not recorded

Cite this reference

Gianvito Lanzolla; Margherita Pagani; Christopher Tucci. Scaling AI With Adaptive Governance. 2026. https://doi.org/10.63383/lvmh6418

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APA, Chicago, ISO 690: bibliographic formats using available fields. OSCOLA / Bluebook: structured data only; full legal citation compliance is not claimed without verification of required elements.

APA
Gianvito Lanzolla; Margherita Pagani; Christopher Tucci. (2026). Scaling AI With Adaptive Governance. https://doi.org/10.63383/lvmh6418
Chicago
Gianvito Lanzolla; Margherita Pagani; Christopher Tucci. Scaling AI With Adaptive Governance. 2026. https://doi.org/10.63383/lvmh6418
ISO 690
Gianvito Lanzolla; Margherita Pagani; Christopher Tucci. Scaling AI With Adaptive Governance. 2026. https://doi.org/10.63383/lvmh6418

UDTR Global Rights of Nature Legal Library. Scaling AI With Adaptive Governance. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-3a200abb0a258323b61d96f71c64aa2e/ · Last HTTP verification: not performed

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Field provenance and record version

Version 0b1463ce6c422dbf · udtr-reference-1.1.2

Title
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
Authors
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
Year
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
Identifiers
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
Source URL
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
Source-reported author ORCID
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00
OpenAlex · source · 2026-11-10T13:56:29.689979+00:00

History tracks record metadata and does not certify the state of the law.

cf311e91c43fd191 · 2026-11-10T13:56:29.689979+00:00

0b1463ce6c422dbf · 2026-11-10T13:56:29.689979+00:00

Frozen-version metadata

Research dossiers and documentary relations

Christopher Tucci

Gianvito Lanzolla

Margherita Pagani

Source roles

Discovery source · https://doi.org/10.63383/lvmh6418

Discovery source · https://openalex.org/W7163260176

An authority link alone does not verify a legal claim. Abstracts and full texts remain subject to their source terms.

Documentary status

Relevance pending

Library

This identity is not yet included in the Legal Library.

UDTR Global Rights of Nature Legal Library