Scientific Innovations and Research in Artificial Intelligence will take place on May 12, 2026, at Mohammed First University, Oujda - Faculty of Medecine and Pharmacy, Morocco.

This academic gathering is organized as part of the Doctoral Day of SEMIA’04 and is open to doctoral candidates and early-career researchers. The event aims to provide a dynamic platform for PhD students, young researchers, and academics to present their latest research findings, exchange innovative ideas, and discuss emerging trends in Artificial Intelligence and its interdisciplinary applications.

SIRAI’26 seeks to promote scientific excellence, foster collaboration between research laboratories, and encourage knowledge transfer between academia and industry. The program will include keynote talks delivered by distinguished experts, doctoral presentations, thematic sessions, and interactive discussions focused on cutting-edge AI technologies and research methodologies.

This event represents a valuable opportunity for networking, scientific debate, and strengthening academic partnerships.

To facilitate broad participation, the event will be organized in a hybrid format, allowing both on-site and remote presentations. Participation in the Doctoral Day is free of charge, encouraging wide involvement from the research community.

Authors are invited to submit original research papers related to the themes of the Doctoral Day. Submitted manuscripts must follow the Springer conference template.

Each paper should have a minimum length of 6 pages and a maximum length of 8 pages, including figures, tables, and references. Authors are required to strictly follow the formatting instructions provided in the Springer template.

All submissions must present original and unpublished work. Accepted papers will be presented during the SIRAI’26 Doctoral Day.

Springer Templates

• Download the Springer Word Template
• Download the Springer LaTeX Template

Topic 1: Governance, Regulation, and Digital Sovereignty

• Multi-level governance: How are decisions regarding AI made at the local, national, and international levels?
• International regulations: What rules are in place, and how can we comply with them?
• Auditability and traceability: Can we always verify how an AI system works?
• Technological sovereignty: How can we ensure that our data and infrastructure remain under European or national control?
• Standards and certification: How can we assess the reliability of AI and certify it?

Topic 2: AI and societal challenges

• Responsible healthcare: How can AI be used in medicine without putting patients at risk?
• Sustainable development: How does AI (satellite imagery, sensors, connected devices) help us better manage our territories, forests, and crops?
• Digital inclusion: How can we prevent AI from widening inequalities and make it accessible to all?
• Education and training: How can AI support lifelong learning and professional development?
• Ecological transition: How can AI reduce our energy consumption and protect the environment?

Topic  3: Security, reliability, and resilience of AI systems

• Privacy: How can we train an AI using data without exposing it? (federated learning)
• Model security: How can we protect AI from attacks or poisoning attempts?
• Continuous monitoring: How can we monitor AI once it is deployed in the real world?
• Embedded AI: How can we secure AI running on everyday devices (phones, sensors)?
• Reliability in critical environments: How can we trust AI in sensitive sectors (transportation, energy, defense)?

Topic 4: Generative AI

• Evaluation and alignment: How can we ensure that large language models (such as ChatGPT) are reliable and align with our values?
• Deepfake detection: How can we identify images, videos, or voices that have been completely fabricated?
• Moderation and misinformation: How can we prevent AI from spreading false information?
• Intellectual property: Who owns content created by AI, and on what data was it trained?
• Impacts in academia: How is generative AI changing research and teaching?