What we are looking for
RAIOps4Fin explores how Responsible AI can be effectively designed, governed, and deployed in financial systems. Case studies, frameworks, and experience reports addressing the practical deployment and operationalization of Responsible AI in financial systems are welcomed.
Topics of interest include, but are not limited to:
- RAI Operationalization - integrating fairness, explainability, privacy, and accountability in financial AI.
- Lifecycle Monitoring - continuous AI monitoring, evaluation, documentation, governance, and trade-off management.
- Model Risk & Compliance - validation, auditability, oversight, risk management, and regulatory compliance.
- Emerging AI Paradigms - governance and deployment of generative AI, foundation models, and agentic systems.
- Disinformation & Misinformation - detecting, mitigating, and governing AI-generated financial disinformation and its impact on market integrity, fraud prevention, and public trust.
- Sustainable AI - energy-efficient, environmentally responsible, and resource-aware AI for finance.
Submit your work
We welcome papers and encourage submissions that demonstrate practical relevance, empirical validation, or deployment experience.
01 Format & guidelines
Submissions are limited to 6 pages excluding references and appendices. Formatting guidelines of the host ICAIF conference should be used.
02 Review process
Reviewing is double-blind. There is no rebuttal period. At least one author of each accepted paper must register and attend to present the work.
03 Presentation
All accepted papers are invited to an oral slot.
03 Proceedings
Accepted papers of at least 5 pages may be considered for inclusion in the CEUR Workshop Proceedings, subject to the authors’ consent. Further details regarding the publication process will be provided after the review process.
Voices from academia and industry
Enrico Panai
Professor at Catholic University of the Sacred Heart, Italy.
Artificial Intelligence ethicist and president of the Association of AI Ethicists.
Riding the wind
How AI Ethics helps to govern when the going gets tough
by Enrico Panai
Panelists
Oreste Pollicino
Full Professor of Constitutional Law and AI Regulation, Bocconi University, Italy.
Andrea Claudio Cosentini
Head of Data Science & Responsible AI, Intesa Sanpaolo, Italy.
Nicasio Muscia
Managing Director, Responsible AI Lead for Italy & Greece, Accenture, Italy.
Masatomo Goto
Principal Research Director, Fujitsu Research Security Science Lab., Japan.
Fabio Mercorio
Full Professor of Data Science and AI, University of Milano – Bicocca, Italy.
Half-day program
Opening Remarks5 min
Paper Session I75 min
- 08:35–08:50
Auditable FRTB Capital Explanations: A Tool Contract for Financial AI AgentsYuhe Sui
- 08:50–09:05
Digitalizing AI Governance in Financial Institutions: From Document-Centric Policy to Centralized Lifecycle ManagementFederica Screti
- 09:05–09:20
Measuring Sensitive Attribute Biases in LLMs: Credit Risk Assessment as an Empirical BenchmarkFederico Ricciuti, Diana Komis
- 09:20–09:35
Is It Still the Same Model? Economic Identity Fingerprints for Production Financial AIChamyl Saadi, Eric Benhamou
- 09:35–09:50
Enhancing Financial Crisis Prediction Using Generative Adversarial Networks and Explainable Artificial IntelligenceSalvatore Rinzivillo
Keynote Speaker40 min
Coffee Break30 min
Paper Session II75 min
- 11:00–11:15
Governing LLM Agents in Financial Compliance: Controls That Survive a Change of ModelSahil Rangwala
- 11:15–11:30
When Synthesis Silences Risk: Auditable Sign-Off in Financial Agent CommitteesJeffrey Zhou
- 11:30–11:45
FiPARM: Financial Prompt Actionable Risk Management. A Governance Taxonomy for Prompt-Level Risk Classification in Financial ServicesOwen O'Neill
- 11:45–12:00
AEGIS: An Auditable Evidence-Governed Interface for Cost-Aware AI Workflow Selection in FinanceXiaozhen Wang
- 12:00–12:15
Unequal Denial, Similar Recourse Cost: Pricing the Closure of the Mortgage Denial GapJonathan Chang
Panel Discussion40 min
Closing Remarks5 min
The team behind the workshop
