Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46276
Title: Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Authors: VANBRABANT, Sebe 
ROVELO RUIZ, Gustavo 
VANACKEN, Davy 
Issue Date: 2025
Source: The 3rd Workshop on Engineering Interactive Systems Embedding AI Technologies, Trier, Germany, 2025, June 24
Abstract: While the increased integration of AI technologies into interactive systems enables them to solve an equally increasing number of tasks, the black box problem of AI models continues to spread throughout the interactive system as a whole. Explainable AI (XAI) techniques can make AI models more accessible by employing post-hoc methods or transitioning to inherently interpretable models. While this makes individual AI models clearer, the overarching system architecture remains opaque. To this end, we propose an approach to represent interactive systems as sequences of structural building blocks, such as AI models and control mechanisms grounded in the literature. These can then be explained through accompanying visual building blocks, such as XAI techniques. The flow and APIs of the structural building blocks form an explicit overview of the system. This serves as a communication basis for both humans and automated agents like LLMs, aligning human and machine interpretability of AI models. We discuss a selection of building blocks and concretize our flow-based approach in an architecture and accompanying prototype interactive system.
Keywords: Computer Science - Human-Computer Interaction;Computer Science - Artificial Intelligence
Document URI: http://hdl.handle.net/1942/46276
Link to publication/dataset: http://arxiv.org/abs/2506.02262
Category: C2
Type: Conference Material
Appears in Collections:Research publications

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