Website: https://ecpai26.netlify.app
The workshop challenges current practice of user modelling and profiling in AI and ML-driven services, where sovereignty over user profiles resides with service providers. We focus on the concept of user-sovereign personalization, where individuals can make their digital self-representations editable, inspectable, and selectively shareable across platforms. This topic is especially timely and critical because current AI-driven services often force users into a frustrating trade-off between privacy and platform lock-in, where they must remain loyal to a specific platform to benefit from an accurate user model. Furthermore, the need to resolve this tension is sharpened by emerging regulatory requirements surrounding transparency and user oversight, such as the GDPR and the EU AI Act. To tackle these challenges, the workshop invites position papers spanning multiple computer science and interdisciplinary domains, including human-computer interaction (HCI), distributed systems, artificial intelligence and machine learning, interactive systems engineering, and security and privacy. Specific themes for these contributions encompass developing schemas and modular representations for user profiles, designing interaction techniques for inspecting or editing user models, creating negotiation workflows and consent mechanisms, engineering user-side AI architectures like federated learning, ensuring verifiability and accountability, and establishing empirical methods to measure user agency and predictability.
Website: https://sites.google.com/view/eiseait2026/
This proposal is the fourth edition of a workshop previously held at EICS 2023, 2024 and 2025. This edition aims to bring together researchers and practitioners interested in the engineering of interactive systems that embed AI technologies (e.g. AI-based recommender systems) or that use AI during the engineering lifecycle of interactive systems. The overall objective is to identify (based on experience reported by participants) methods, techniques, and tools to support the use and inclusion of AI technologies throughout the engineering lifecycle for interactive systems. A specific focus is on guaranteeing that user-relevant properties such as usability and user experience are accounted for. Contributions are also expected to address system-related properties, such as resilience, dependability, reliability, safety, security or performance. Another focus is on the identification and definition of software architectures supporting this integration in a generic way, ensuring properties such as maintainability and reusability
Should you have any doubt about Workshops please contact the chairs (workshops2026@eics.acm.org)