Cover Image

Global Cybercrime Damages: A Baseline for Frontier AI Risk Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lukošiūtė, Kamilė, Halstead, John, Righetti, Luca
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM Cyber Evaluations Don't Capture Real-World Risk
by: Lukošiūtė, Kamilė, et al.
Published: (2025)

Unintentional Consequences: Generative AI Use for Cybercrime
by: Luu, Truong Jack, et al.
Published: (2025)

A Multi-Turn Framework for Evaluating AI Misuse in Fraud and Cybercrime Scenarios
by: Mai, Kimberly T., et al.
Published: (2026)

What do model reports say about their ChemBio benchmark evaluations? Comparing recent releases to the STREAM framework
by: Reed, Tom, et al.
Published: (2025)

Enabling Frontier Lab Collaboration to Mitigate AI Safety Risks
by: Felstead, Nicholas
Published: (2025)

A Comprehensive Analytical Review on Cybercrime in West Africa
by: Adewopo, Victor, et al.
Published: (2024)

Different Cybercrimes and their Solution for Common People
by: Tamang, S., et al.
Published: (2024)

Cyber Slavery Infrastructures: A Socio-Technical Study of Forced Criminality in Transnational Cybercrime
by: Sarkar, Gargi, et al.
Published: (2025)

Weaponization of Conscience in Cybercrime and Online Fraud: A Novel Systems Theory
by: Espinoza, Michelle
Published: (2024)

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies
by: Brundage, Miles, et al.
Published: (2026)

Astra: AI Safety, Trust, & Risk Assessment
by: Aggarwal, Pranav, et al.
Published: (2026)

STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
by: McCaslin, Tegan, et al.
Published: (2025)

Open Problems in Frontier AI Risk Management
by: Ziosi, Marta, et al.
Published: (2026)

Identifying Key Expert Actors in Cybercrime Forums Based on their Technical Expertise
by: Ruellan, Estelle, et al.
Published: (2025)

Dark Speculation: Combining Qualitative and Quantitative Understanding in Frontier AI Risk Analysis
by: Carpenter, Daniel, et al.
Published: (2025)

The California Report on Frontier AI Policy
by: Bommasani, Rishi, et al.
Published: (2025)

Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
by: Allaham, Mowafak, et al.
Published: (2025)

Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection
by: Shi, Jiadong, et al.
Published: (2025)

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
by: Raj, Aman, et al.
Published: (2025)

Evaluating AI Providers' Frontier Safety Frameworks
by: Stelling, Lily, et al.
Published: (2025)

Assurance of Frontier AI Built for National Security
by: Pistillo, Matteo, et al.
Published: (2025)

Certified Safe: A Schematic for Approval Regulation of Frontier AI
by: Salvador, Cole
Published: (2024)

From Principles to Rules: A Regulatory Approach for Frontier AI
by: Schuett, Jonas, et al.
Published: (2024)

Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment
by: Lee, Sung Une, et al.
Published: (2024)

Frontier AI developers need an internal audit function
by: Schuett, Jonas
Published: (2023)

The Role of AI Safety Institutes in Contributing to International Standards for Frontier AI Safety
by: Fort, Kristina
Published: (2024)

Getting Bored of Cyberwar: Exploring the Role of Low-level Cybercrime Actors in the Russia-Ukraine Conflict
by: Vu, Anh V., et al.
Published: (2022)

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI
by: Tong, Haibo, et al.
Published: (2026)

Towards Safe Multilingual Frontier AI
by: Kanepajs, Artūrs, et al.
Published: (2024)

Responsible Reporting for Frontier AI Development
by: Kolt, Noam, et al.
Published: (2024)

Governing AI Beyond the Pretraining Frontier
by: Caputo, Nicholas A.
Published: (2025)

Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media
by: Allaham, Mowafak, et al.
Published: (2025)

Benchmarking Political Persuasion Risks Across Frontier Large Language Models
by: Chen, Zhongren, et al.
Published: (2026)

When Does Regulation by Insurance Work? The Case of Frontier AI
by: Trout, Cristian
Published: (2025)

2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage
by: Younas, Aqs, et al.
Published: (2024)

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
by: Liu, Dongrui, et al.
Published: (2026)

BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
by: Sachdeva, Arush, et al.
Published: (2025)

LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)

Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations
by: Charnock, Jacob, et al.
Published: (2026)

An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence
by: Carpenter, Daniel, et al.
Published: (2024)