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DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025

Identification

Public canonical key
radar:r-e3e9cf39e2efa56d1ad92a0ea3f407d4
Authors
Deílton Ribeiro Brasil
Reported year
2026
Reported language
en
Source type
book-chapter
First detected
2026-11-14T01:58:59.322617+00:00
Last metadata observation
2026-11-14T01:58:59.322617+00:00
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Institutions reported by the source

Akademia Ignatianum w Krakowie

Reported affiliation countries

PL

Documentary abstract — original language

Abstract: This paper examines the consolidation of digital sustainability as a regulatory paradigm in contemporary debates on AI governance, based on the analysis of Brazilian Draft Bill No. 4/2025, which proposes the incorporation of a specific chapter on AI into the Civil Code through Articles 2.027-AL to 2.027-AN. The study starts from the recognition that AI systems have become central to the mediation of social, economic, and legal relations, often operating through opaque processes that intensify informational asymmetries and weaken traditional mechanisms of accountability. Within this context, the central research problem consists in assessing how the civil-law model adopted by Draft Bill No. 4/2025 - structured around the protection of rights related to human personality, informed consent, transparency, explainability, non-discrimination, and full compensation for damages - can constitute a coherent normative framework for digital sustainability capable of mitigating algorithmic risks without hindering technological innovation. The objective is to demonstrate that the proposed regulation frames digital sustainability as the guiding rationale for the obligations imposed on actors involved in the development and deployment of AI systems, shifting AI governance from a purely instrumental logic toward a rights-based approach grounded in fundamental rights. Methodologically, the research adopts a hypothetical-deductive method, combined with normative and comparative analysis of Brazilian legislation - especially the Law No. 12.965/2014 (Internet Civil Framework) and the Law No. 13.709/2018 (General Data Protection) - as well as Draft Bill No. 4/2025. The results achieved indicate that the Brazilian model is innovative in integrating AI governance into the Civil Code, strengthening legal certainty, judicial enforceability, and the centrality of dignity, autonomy, and human identity as structural elements of digital sustainability.

Identifiers

OPENALEX
https://openalex.org/W7160116744
DOI
10.62140/drb958611643

Documentary context

Documentary family
Book chapter
Source-reported types
book-chapter

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Book bibliographic description

Reported publication date
2026-01-01

Access status unknown

Sources

OpenAlex · Record 1

Cite this reference

Deílton Ribeiro Brasil. DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025. 2026. https://doi.org/10.62140/drb958611643

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APA
Deílton Ribeiro Brasil. (2026). DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025. https://doi.org/10.62140/drb958611643
Chicago
Deílton Ribeiro Brasil. DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025. 2026. https://doi.org/10.62140/drb958611643
ISO 690
Deílton Ribeiro Brasil. DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025. 2026. https://doi.org/10.62140/drb958611643

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UDTR Global Rights of Nature Legal Library. DIGITAL SUSTAINABILITY AS A REGULATORY PARADIGM: NON-DISCRIMINATION, EXPLAINABILITY AND CONSENT IN AI SYSTEMS UNDER THE BRAZILIAN DRAFT BILL N.º 4/2025. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-e3e9cf39e2efa56d1ad92a0ea3f407d4/ · Last HTTP verification: not performed

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Bibliographic / original publication source · https://doi.org/10.62140/drb958611643

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