Description: Three reportedly fake journals published by Addleton Academic Publishers manipulated Scopus rankings by extensively cross-citing each other and using AI-generated papers filled with buzzwords. These journals, placed in the top 10 of Scopus's 2023 CiteScore philosophy list, featured fake authors, affiliations, and grant numbers. This manipulation pushed legitimate journals to lower tiers, affecting academic evaluations and awards.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Fake publications , Auricle Global Society of Education and Research et Addleton Academic Publishers, a endommagé University hiring committees , University faculty , Scopus , Academic journals et University job candidates.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Misinformation
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Rapports d'incidents
Chronologie du rapport
Recently our philosophy faculty at Jagiellonian University in Kraków, like many institutions around the world, introduced a ranking of journals based on Elsevier's Scopus database to evaluate the research output of its employees for awards …
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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