Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice

Due to the migration megatrend, efficient and effective second-language acquisition is vital. One proposed solution involves AI-enabled conversational agents for person-centered interactive language practice. We present results from ongoing action research targeting quality assurance of proprietary...

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Veröffentlicht in:	Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI S. 22 - 32
Hauptverfasser:	Borg, Markus, Bengtsson, Johan, Osterling, Harald, Hagelborn, Alexander, Gagner, Isabella, Tomaszewski, Piotr
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2022
Schlagworte:	action research AI quality Context modeling conversational agent generative dialog model Interviews Machine learning Natural language processing Quality assurance requirements engineering Software engineering software testing Testing
Online-Zugang:	Volltext
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