A Thought-provoking Question Matrix to Guide the Development of Foundation-Model-based Applications
Authors | Sietske Tacoma, Jimmy Mulder, Matthieu Laneuville, Stefan Leijnen |
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Published in | Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), Malmö, Sweden, June 10-11, 2024 |
Publication date | 10 June 2024 |
Research groups | Artificial Intelligence |
Type | Lecture |
Summary
Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also concerning added business value, implementation risks and governance. They express a need for guidance to answer these questions in a suitable and responsible way. We intend to offer such guidance by the question matrix presented in this paper. The question matrix is adjusted from the model card, to match well with development of AIapplications rather than AI-models. First pilots with the question matrix revealed that it elicited discussions among developers and helped developers explicate their choices and intentions during development.