5 papers · 1 filter
MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks
Sebe Vanbrabant, Gustavo Rovelo Ruiz, Davy Vanacken
While the increased integration of AI technologies into interactive systems enables them to solve an increasing number of tasks, the black-box problem of AI models continues to spr…
Engineering Trustworthy Automation: Design Principles and Evaluation for AutoML Tools for Novices
Jarne Thys, Davy Vanacken, Gustavo Rovelo Ruiz
AutoML systems targeting novices often prioritize algorithmic automation over usability, leaving gaps in users' understanding, trust, and end-to-end workflow support. To address th…
INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
Jarne Thys, Sebe Vanbrabant, Davy Vanacken +1
The rise of AI, especially Large Language Models, presents challenges and opportunities to integrate such technology into the classroom. AI has the potential to revolutionize educa…
Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Sebe Vanbrabant, Gustavo Rovelo Ruiz, Davy Vanacken
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 continue…
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making
Gilles Eerlings, Sebe Vanbrabant, Jori Liesenborgs +3
We present an approach, AI-Spectra, to leverage model multiplicity for interactive systems. Model multiplicity means using slightly different AI models yielding equally valid outco…