Workshop: AI-Enhanced DAO Security (AIDAOS'25) : vTools Events

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Workshop: AI-Enhanced DAO Security (AIDAOS'25)

#workshop #blockchain #AI

https://hakiri.github.io/AIDAOS25/

The rise of Decentralized Autonomous Organizations (DAOs) has revolutionized the way digital communities and organizations collaborate, allocate resources, and make decisions. Built on blockchain technology and powered by smart contracts, DAOs promise transparency, decentralization, and automation. However, this promise comes with significant security challenges stemming from complex governance systems, smart contract vulnerabilities, and token economy manipulations, as seen in high-profile incidents like the 2016 DAO hack.

This workshop will explore how AI technologies and model-driven design methodologies can be leveraged to address these challenges. AI techniques such as machine learning, natural language processing (NLP), and reinforcement learning offer proactive solutions for real-time anomaly detection, predictive risk management, and adaptive governance. These tools can identify governance vulnerabilities, detect unusual token flow patterns, and optimize tokenomics to improve stakeholder engagement while preventing centralization. Through practical case studies, participants will see how AI-driven methods enhance DAO resilience, monitor system behavior, and help mitigate governance failures.

Additionally, model-driven design principles provide a structured approach to reducing vulnerabilities in DAO development. By systematically modeling governance and organizational structures, DAOs can achieve higher security and scalability, ensuring that the design process aligns with best practices and reduces the risk of coding errors. The workshop will also address the ethical integration of AI to maintain user privacy, ensure fairness, and uphold the core principles of decentralization. Participants will gain actionable insights into how combining AI, model-driven design, and decentralized technologies can lead to the development of secure, transparent, and adaptive DAOs, paving the way for more robust decentralized ecosystems.

Security & Smart Contracts: - Formal verification and smart contract security
- Threat detection in DAOs using AI: - Attack prevention and mitigation in decentralized governance
AI for DAO Optimization & Governance:>: - AI-driven governance models and voting mechanisms; - Machine learning for fraud detection in DAOs; - NLP for proposal analysis and decision-making
Model-Driven Approaches for DAO Security:: - Model-driven design for secure DAO development; - Structured DAO design methodologies; - Enhancing scalability and resilience in DAOs; - Token economy modeling and risk assessment
Ethical & Regulatory Considerations:: - AI bias in decentralized decision-making; - Privacy-preserving AI techniques for DAOs; - Legal implications and compliance in AI-enhanced DAOs

Submissions must be in an electronic form as PDF format and should be uploaded using the conference website. The submitted paper should be at most 8-12 printed pages . Papers that fail to comply with length limit will be rejected. Submissions will be peer-reviewed by at least 3 peer reviewers. After the preliminary notification date, authors rebut by evidence and arguments all reviewer inquiries and their comments. Based on the rebuttal feedback, reviewers notify authors with the final decision. Selection criteria will include: relevance, significance, impact, originality, technical soundness, and quality of presentation. Preference will be given to submissions that take strong or challenging positions on important emergent topics related to Digital Ecosystems. At least one author should attend the conference to present the paper.
- Publication: The conference Proceedings will be published and indexed by the Communications in Computer and Information Science (Springer CCIS) .
- Submission: All paper submissions for MEDES-2025 will be via Easychair .

- Alex Norta, PhD. Tallinn University, Estonia / Dymaxion OÜ, Estonia / University of Pretoria, South Africa
- Akram Hakiri, PhD. Associate Professor of Computer Science. University of Pau & Pays de l'Adour, France.
- Anne Laurent, PhD. Professor of Computer Science. University of Montpellier, LIRMM

- Sellami Bassem, Université de Perpignan Via Domitia, France
- Nedra Mellouli, Pole Universitaire Léonardo De Vinci, Research Center, La Defense, Paris, France
- Hella Kaffel Ben AyedUniversity of Tunis El Manar, Tunisia
- Amel Mammar, Université de Versailles, France
- Sadok Ben Yahia, University of Southern Denmark, Denmark
- Claudio Schifanella, University of Turin, Italy
- Tiziana Margaria, Lero, Ireland
- Guido Boella, Università di Torino, Italy
- Dirk Draheim, Software Competence Center Hagenberg. Freistadt, Austria
- Davor Svetinovic, Khalifa University of Science and Technology, UAE
- Adedoyin Hussain, Near East University, Nicosia, North Cyprus, via Mersin 10, Cyprus
- Pradipkumar Sharma, University of Aberdeen, UK
- Diogo Mattos, Universidade Federal Fluminense, Brazil
- Wolfgang Arendt, Chalmers University of Technology, Germany
- Ibrahim Javed, The University of British Columbia, Canada

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