Publicação
A roadmap to Ai for Ngos: a Cáritas case study - benefits, challenges and ethical considerations of Ai adoptio
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | |
| dc.contributor.advisor | Costa, Bernardo Forbes | |
| dc.contributor.author | Ferreira, Ricardo | |
| dc.date.accessioned | 2026-05-27T13:19:07Z | |
| dc.date.available | 2026-05-27T13:19:07Z | |
| dc.date.issued | 2026-01-07 | |
| dc.date.submitted | 2025-11-16 | |
| dc.description.abstract | Despite growing interest in artificial intelligence among nonprofits, 95% of AI initiatives fail due to inadequate data foundations. This challenge is particularly acute for federated nonprofit structures, organizations comprising multiple legally autonomous entities under a shared mission, where data fragmentation and inconsistent governance create implementation barriers.This research develops a comprehensive AI enablement framework specifically for federated nonprofits. The framework integrates: (1) a three-tier data governance architecture balancing centralized coordination with local autonomy; (2) a five-level maturity model establishing minimum AI readiness thresholds; and (3) a 24-month implementation roadmap. We adopt established corporate governance principles for nonprofit contexts where hierarchical enforcement is unavailable, emphasizing voluntary coordination and consensus-based decision-making. Validation through Cáritas Portuguesa, a federation of 20 autonomous dioceses, demonstrates that technical infrastructure alone does not ensure AI readiness without governance structures. The research addresses ethical considerations including human-centered design, GDPR compliance, transparency requirements, and multi-stakeholder co-creation for "AI for Good" initiatives. A proof-of-concept Streamlit application demonstrates practical implementation, providing tools for data standardization, KPI monitoring, and AI-assisted insights while maintaining confidentiality and human oversight. This work offers federated nonprofits a practical blueprint for building data infrastructure required for ethical AI implementation while preserving organizational autonomy and mission integrity | eng |
| dc.identifier.tid | 204242304 | |
| dc.identifier.uri | http://hdl.handle.net/10362/203491 | |
| dc.language.iso | eng | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Data governance | |
| dc.subject | Federated nonprofit organizations | |
| dc.subject | AI readiness | |
| dc.subject | Maturity model | |
| dc.subject | Human-centered AI | |
| dc.subject | GDPR compliance | |
| dc.subject | AI for good | |
| dc.subject | Multi-stakeholder co-creation | |
| dc.subject | Social sector digital transformation | |
| dc.subject | Cáritas Portugal | |
| dc.title | A roadmap to Ai for Ngos: a Cáritas case study - benefits, challenges and ethical considerations of Ai adoptio | eng |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a master's degree in business Analytics from the Nova School of Business and Economics |
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