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.
Entities
View all entitiesAlleged: Fake publications , Auricle Global Society of Education and Research and Addleton Academic Publishers developed and deployed an AI system, which harmed University hiring committees , University faculty , Scopus , Academic journals and University job candidates.
Incident Stats
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
Incident Reports
Reports Timeline
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 …
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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