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Flavia Bernardini

Biographic Data

ID3925221
NAMEFlavia Bernardini
GIVEN NAMESFlavia
FAMILY NAMEBernardini
SIGNATUREBERNARDINI F
AFFILIATIONSUniversidade Federal Fluminense
ORCID0000-0001-8801-827X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Trustworthy AI in public administration

    Open Access•Igor Garcia Ballhausen Sampaio, Eduardo de Oliveira Andrade et al.•ARTICLE•Government Information Quarterly•2026

    Applying Artificial Intelligence (AI) to fraud detection in Public Procurement (PP) has become increasingly relevant due to its ability to process large volumes of data and identify suspicious patterns more efficiently than traditional methods. However, its implementation raises critical ethical concerns regarding respect for human autonomy, prevention of harm, fairness, and explainability. This study investigates these concerns through a four-ph…

  • A survey on the use of data and opinion mining in social media to political electoral outcomes prediction

    Open Access•Jéssica S Santos, Flavia Bernardini et al.•ARTICLE•Social Network Analysis and Mining•2021

No prominent works on this page.

  • A survey on the use of data and opinion mining in social media to political electoral outcomes prediction

    Open Access•Jéssica S Santos, Flavia Bernardini et al.•ARTICLE•Social Network Analysis and Mining•2021

  • Trustworthy AI in public administration

    Open Access•Igor Garcia Ballhausen Sampaio, Eduardo de Oliveira Andrade et al.•ARTICLE•Government Information Quarterly•2026

    Applying Artificial Intelligence (AI) to fraud detection in Public Procurement (PP) has become increasingly relevant due to its ability to process large volumes of data and identify suspicious patterns more efficiently than traditional methods. However, its implementation raises critical ethical concerns regarding respect for human autonomy, prevention of harm, fairness, and explainability. This study investigates these concerns through a four-ph…

Artificial Intelligence (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Constructive fraud (1 work) · Data collection (1 work) · Data mining (1 work) · Data science (1 work) · Deception (1 work) · Ethics and Social Impacts of AI (1 work) · Explainable Artificial Intelligence (XAI (1 work)

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