The field of digital systems and AI is increasingly focusing on integrating human, societal, and environmental values into the design and development process. This shift is driven by a growing recognition of the importance of these values for sustainability and long-term well-being, alongside traditional software quality metrics. Innovations in this area are exploring how digital systems can better interact with humans, whether in proactive, reactive, or passive roles, and how trust and trustworthiness can be enhanced in these interactions. Additionally, there is a significant push towards creating AI-driven automation that supports human flourishing, moving beyond the fear of job displacement to envision a future where technology facilitates leisure and personal growth. In the realm of user interface design, advancements are being made towards achieving human-AI synergy, with systems now capable of iterative design processes that align more closely with user intent. Furthermore, the development of automatically generated assessment reports for educational purposes is being refined to reduce cognitive load on teachers and enhance the usability of these tools. Lastly, the use of Generative AI in creating cultural heritage narratives is being explored, highlighting both the potential and limitations of AI in accurately representing cultural features and personal stories.

Noteworthy Papers

• Engineering Digital Systems for Humanity: a Research Roadmap: Proposes a comprehensive research roadmap for integrating human, societal, and environmental values into digital systems engineering.
• AI-driven Automation as a Pre-condition for Eudaimonia: Offers a novel perspective on AI-driven automation as a facilitator of human flourishing, challenging traditional narratives of job displacement.
• Towards Human-AI Synergy in UI Design: Enhancing Multi-Agent Based UI Generation with Intent Clarification and Alignment: Introduces PrototypeAgent, a system that significantly improves the alignment of UI designs with user intent through iterative refinement.
• Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review: Provides a conceptual framework for designing more user-friendly and effective automatically generated assessment reports.
• "I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives: Explores the use of Generative AI in cultural heritage storytelling, identifying both strengths and areas for improvement in AI's ability to represent cultural narratives.
• WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI: Develops WeAudit, a system that effectively supports end users in auditing AI, offering actionable insights for practitioners.