Topics:
We welcome contributions on a broad spectrum of topics related to human-centred approaches in Artificial Intelligence, including but not limited to:

• Ethical and Trustworthy AI: Methods for explainability and interpretability in deep learning models, ensuring fairness, transparency, and accountability in AI-driven decision-making.
• AI for Healthcare and Well-being: Applications of neural networks and bio-inspired AI for patient monitoring, diagnostics, mental health support, and ambient assistive living.
• Social Good and AI for Inclusion: Developing intelligent systems to empower marginalized communities, enhance accessibility, and promote digital inclusivity, including speech, gaze, and gesture recognition for assistive technologies
• Legal and Regulatory Frameworks: Examining AI governance, legal compliance, and ethical considerations in deploying AI technologies in sensitive domains such as finance, justice, and social policy.
• AI for Environmental Sustainability: Leveraging computational intelligence for optimizing resource consumption, monitoring climate change, and designing energyefficient AI models with a reduced carbon footprint.
• Social Media and Digital Ethics: Addressing challenges in misinformation detection, content moderation, and user interaction through interpretable AI models for social media platforms.
• Intelligent Human-Machine Interaction: Innovations in embodied conversational agents, intelligent dialogue systems, and adaptive interfaces that enhance human engagement and trust in AI.
• Brain-Computer Interfaces and Human Cognition: Exploring how computational intelligence can model human emotions, consciousness, and cognitive processes for applications in neuroscience and psychology.
• Generative AI for Augmented Data: Ethical considerations in synthetic dataset creation for AI training, ensuring bias mitigation and data integrity.
• Secure and Privacy-Preserving AI: Techniques for safeguarding personal data in AIdriven applications, including de-identification strategies, federated learning, and adversarial robustness.

This session seeks to bring together researchers, practitioners, and policymakers to discuss the evolving landscape of Artificial Intelligence and its implications for society. We encourage submissions that emphasize both theoretical insights and practical applications to advance human-centred AI.

Submission Types

We invite a wide range of contributions from experts, researchers, PhD students, and practitioners, including:

• Research Papers: Original research that advances the field of trustworthy and humancentred AI;
• Position Papers: Opinions, perspectives, or theoretical discussions on current trends, challenges, and future directions in the domain;
• Review Papers: Comprehensive reviews that synthesize recent developments, methodologies, and applications in the field, providing insights into future research avenues.

All the submitted papers will be reviewed by the program committee and will be presented during the special session. As this is a special session, accepted contributions will be published as part of the main workshop proceedings. Each paper must comply with the Spinger conference paper format (https://www.springer.com/gp/computerscience/lncs/conference-proceedings-guidelines) and must not exceed 13-15 pages. The paper submission is through Easy Chair (https://easychair.org/conferences/?conf=wirn2025).

For more information, don’t hesitate to contact the special session organisers.