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RisksGenAI 2026
The 2nd Workshop on Risks and Unintended Harms of Generative AI Systems
Bari, Italy
https://risks-genai.github.io/2026/

Held as part of ITADATA 2026 – 5th Italian Conference on Big Data and Data Science
Bari, Italy
10–12 November 2026
https://www.itadata.it/
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Overview:
We invite submissions to the 2nd Workshop on Risks and Unintended Harms of Generative AI Systems, to be held in conjunction with ITADATA 2026 – 5th Italian Conference on Big Data and Data Science.

Call for Papers:
As generative AI systems—such as large language models and synthetic media generators—become deeply integrated into journalism, governance, healthcare, cybersecurity, and other critical sectors, they introduce complex challenges and urgent questions around trust, governance, and harm mitigation. Their growing role within big data ecosystems reshapes how information is collected, processed, verified, and communicated, creating new vulnerabilities across the entire data lifecycle.
This workshop explores the risks, unintended harms, and disruptive impacts of generative AI systems, as well as emerging approaches for mitigating these issues. It aims to foster interactive discussion, interdisciplinary exchange, and forward‑looking debate, with the goal of shaping a research and policy agenda for responsible GenAI integration in data‑intensive environments. We welcome lightning talks, original research, preliminary results, case studies, and provocations that bring fresh insights into the risks and governance of generative AI.


Topics of Interest:
Topics include, but are not limited to:
Failures, biases, and unintended consequences in generative AI models
Data assurance and trust in AI‑generated content
Transparency, red‑teaming, and risk‑mitigation techniques
Impact on data protection, provenance, and auditability
Policy and regulatory responses to synthetic media and AI‑generated content
Detection and prevention of malicious uses of generative AI (e.g., deepfakes, fraud, misinformation)
Governance models for safe and ethical deployment of generative systems
Trustworthiness and interpretability in AI‑enhanced big data applications


Submission Types
The workshop accepts three categories of submissions:
Regular Papers: 5–12 pages (excluding references) presenting mature, original research not published or under review elsewhere. Proceedings: Included in CEUR‑WS (open access).
Short Papers: 5–8 pages (excluding references) presenting preliminary results, ongoing work, early‑stage ideas. Proceedings: Included in CEUR‑WS (open access)
Non‑Archival Papers: presenting relevant work recently accepted or under review elsewhere, abstracts, discussion papers, critical reviews, position papers or incomplete research. Proceedings: Not included in CEUR‑WS and presentation allowed at the workshop.

Accepted papers will be published in an open-access volume of the CEUR Proceedings. The proceedings will include only original contributions (regular papers, short papers, and extended abstracts of at least 5 pages). Non-archival submissions can present relevant work recently accepted or currently submitted at other venues. At least one author of each accepted paper must register for the workshop and present the paper.


Review Process
All submitted papers will undergo a peer-review process. Each submission will be evaluated by at least two independent reviewers, selected from the Program Committee or invited experts. Reviews will assess relevance to the workshop topics, scientific quality, originality, clarity of presentation, and potential impact. Based on the reviewers' evaluations and discussion among the Program Committee, the workshop chairs will make the final acceptance decisions. Only accepted papers presented at the workshop will be included in the CEUR-WS proceedings. We are committed to ensuring a fair, transparent, and high-quality selection process.


Important Dates
Paper submission: September 1, 2026
Notification: September 15, 2026
Camera-ready: October 15, 2026
Workshop dates: November 10-12, 2026


Organizers
Stefano Cirillo – University of Salerno, Italy
Angelo Impedovo – Nesea
Vincenzo Pasquadibisceglie – University of Bari Aldo Moro, Italy
Eliana Pastor – Politecnico di Torino, Italy
Francesco Pierri – Politecnico di Milano, Italy
Serena Tardelli – IIT-CNR, Italy