AI Risk Management

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6 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation
Jun 24, 2026Jun Yajima, Tatsuya Oka, Takao OkuboAI Risk Management Automated Fact-Checking
1Fujitsu Limited · Institute of Information Security
AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems
Jun 20, 2026Srimonti Dutta, Akshata Kishore MoharirAI Risk Management AI Agent Auditing
WAI USA Research Labs · WAI USA · Austin, USA +1
The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value
Jun 19, 2026Vishal Srivastava, Tanmay SahAI Assurance AI Risk Management
Whiting School of Engineering Johns Hopkins University Baltimore, MD 21218 · Harrisburg University of Science and Technology Harrisburg, PA
When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic Underwriting
Jun 15, 2026Binyan Xu, Xilin Dai, Fan Yang +1AI Risk Management AI Agent Safety
The Chinese University of Hong Kong, Hong Kong, Hong Kong · Zhejiang University, Hangzhou, China
Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
Jun 15, 2026Hao-Hsuan ChenMechanism Design AI Risk Management
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products
Jun 13, 2026Hao-Ping Lee, Jessica He, David Piorkowski +3AI Risk Management AI Agent Safety
Carnegie Mellon University · IBM Research · Alinia
Cognitive Debt: AI as Intellectual Leverage and the Dynamics of Systemic Fragility
Jun 13, 2026Shuchen MengAI Risk Management Cognitive Offloading
New York University
Privacy-Preserving Credit Risk Prediction with Alternative Data
Jun 9, 2026Hongzhe Zhang, Jiarong Xu, Jing He +1AI Risk Management Privacy-Preserving ML
School of Management and Economics, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China · School of Management, Fudan University, Shanghai, China · Lerner College of Business and Economics, University of Delaware, Newark, Delaware
RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
Jun 7, 2026Leihan Zhang, Wecheng Ye, Xianlong Ma +5AI Risk Management AI Governance
School of Economics and Management, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing,2026 100876, China. · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance, 10 Xitucheng Road, Haidian District, Beijing, 100876, Jun China.
TRUST-SCF: Transformer-based Risk Understanding and Scoring for Transactional Supply Chain Finance
Jun 6, 2026Mohammadamin Davoodabadi, Amirabbas ShakeriFinancial Services AI Risk Management
Department of Growth Barook Co.
The Three-Ring Architecture: Governing Agents in the Era of On-Platform Organisations
Jun 5, 2026Sergio Alvarez-Telena, Marta Diez-FernandezAI Risk Management LLM Agent Orchestration
University College London, UK · SciTheWorld, Spain
Insurance of Agentic AI
Jun 3, 2026Quanyan ZhuAI Risk Management Agentic AI
Department of Electrical and Computer Engineering, New York University, Tandon School of Engineering.
Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis
Jun 2, 2026Sanjay Das, Ran Elgedawy, Ethan Seefried +2Multi-Agent LLM Systems AI Risk Management
Oak Ridge National Laboratory Oak Ridge, Tennessee, USA
From Control Boundary to Insurance Claim: Reconstructing AI-Mediated Losses Through the CER Framework
Jun 2, 2026Alex Leung, Rex Zhang, Kentaroh Toyoda +1AI Accountability AI Risk Management
AIFT
GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway
May 31, 2026Ahmet KaplanAI Accountability AI Risk Management
Department of Computer Science Istanbul Medipol University Istanbul, Türkiye
AI Loss of Control Incident Management: Response & Resilience
May 28, 2026Ross GruetzemacherAI Risk Management AI Agent Safety
Wichita State University · Transformative Futures Institute
Foundations of a Time-Consistent Counterfactual Actuarial Runtime for Autonomous AI Agents
May 26, 2026Hao-Hsuan ChenCounterfactual Evaluation AI Risk Management
Department of Risk Management and Insurance National Chengchi University
Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
May 25, 2026Hao-Hsuan ChenAI Risk Management AI Agent Evaluation
Department of Risk Management and Insurance National Chengchi University
Reframing AI Loss of Control: What It Is, How to Have It, How to Lose It
May 19, 2026Ze Shen Chin, Maurice Chiodo, Dennis Müller +1AI Risk Management AI Governance
Oxford Martin AI Governance Initiative AI Standards Lab · Centre for the Study of Existential Risk, University of Cambridge · Institute of Mathematics Education, University of Cologne +1
Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models
May 18, 2026Aditya Tanna, Mitul Solanki, Mohamed Bouadi +3Class-Imbalanced Learning Tabular Foundation Models
Lexsi Labs
Foundation Models for Credit Risk Prediction: A Game Changer?
May 18, 2026Bart Baesens, Andreas Goethals, Stefan Lessmann +10Tabular Foundation Models AI Risk Management
Faculty of Economics and Business, KU Leuven, Belgium · School of Business and Economics, Humboldt University of Berlin, Germany · Department of Statistical and Actuarial Sciences, Western University, Canada +8
STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment
May 16, 2026Tsafac Nkombong Regine Cyrille, Franziska SchwarzAI Assurance AI Risk Management
SRH University of Applied Sciences Heidelberg School of Technology and Architecture CyberMACS (Applied Cybersecurity) Berlin, Germany · Universidad de Granada Facultad de Ciencias Econ´omicas y Empresariales Granada, Spain
MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study
May 11, 2026Tim Van hamme, Thomas Vissers, Javier Carnerero-Cano +4AI Risk Management AI Agent Security
DistriNet, KU Leuven, 3001 Leuven, Belgium · IBM Research · CISPA Helmholtz Center for Information Security +2
The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure
May 10, 2026Vasudha Sharma, Chakresh Kumar Singh, Jayesh Choudhari +1AI Risk Management
1LophiLabs · 2Independent.
The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Review
May 9, 2026Ayush Enkhtaivan, Chinazunwa UwaomaAI Risk Management AI Governance
Claremont Graduate University
Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management
May 7, 2026Davide RindoriLong-Term Time Series Forecasting AI Risk Management
SAV Actuarial Candidate, ETH Zürich · PhD in Physics, University of Florence (2021)
Agentic, Context-Aware Risk Intelligence in the Internet of Value
May 7, 2026Basel Magableh, OmniRisk ResearchQuantitative Finance AI Risk Management
School of Computer Science, Technological University Dublin, Ireland · Rayachain Lab, Dublin, Ireland
Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
May 6, 2026Christopher KochAI Risk Management Cybersecurity
Independent Researcher
The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions
May 6, 2026Alex Leung, Rex Zhang, Ervin Ling +2AI Risk Management
AIFT
The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
May 2, 2026Taro Qureshi, Jacob Griffith, Koen Holtman +3AI Risk Management AI Governance
Northeastern University London · London School of Economics and Political Science · AI Standards Lab +2

Jun 24, 2026, cs.CRJ/K move · Enter open · S save

Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation

Jun Yajima, Tatsuya Oka, Takao Okubo

1Fujitsu Limited · Institute of Information Security

AI Risk Management Automated Fact-Checking

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In recent years, the posting of fake news including disinformation and misinformation on social networking services (SNS) has become a social problem. To combat this fake news, fact-checking that is the process of assessing the veracity of posts on SNS has become increasingly important. While fact-checking is currently performed by fact-checking organizations, it is difficult to fact-check all posts on SNS. Therefore, the use of automated fact-checking systems is effective. Recent automated fact-checking systems utilize artificial intelligence and large language models, so there are risks of incorrect judgments and posting incorrect results on social media which can lead to the spread of misinformation or to engage in defamation. In this paper, as a first step toward enabling the safe use of automated fact-checking systems, we categorize the specific risks on automated fact-checking systems. In this categorizing, we consider a three-stage risk propagation: risk factors, hazardous situations, and harm. Our analysis revealed that 32 specific risks exist in automated fact-checking systems. In this paper, we utilize the categorized risks as analytical cues (guide words) to present the risk assessment of the automated fact-checking system DEFAME. This assessment result indicates that risks that cannot be derived using STRIDE, a conventional IT security risk assessment method can be derived using our guide words.

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