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Applying AI in Practice: Key Challenges and Lessons Learned

Abstract : The main challenges along with lessons learned from ongoing research in the application of machine learning systems in practice are discussed, taking into account aspects of theoretical foundations, systems engineering, and human-centered AI postulates. The analysis outlines a fundamental theory-practice gap which superimposes the challenges of AI system engineering at the level of data quality assurance, model building, software engineering and deployment.
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https://hal.inria.fr/hal-03414730
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Submitted on : Thursday, November 4, 2021 - 3:57:24 PM
Last modification on : Friday, November 18, 2022 - 9:38:04 AM
Long-term archiving on: : Saturday, February 5, 2022 - 7:08:06 PM

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Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, et al.. Applying AI in Practice: Key Challenges and Lessons Learned. 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.451-471, ⟨10.1007/978-3-030-57321-8_25⟩. ⟨hal-03414730⟩

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