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A Development Framework for a Conversational Agent to Explore Machine Learning Concepts


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1 University of Oxford Alumni- (Research Group, Alumni Association, Northern California), United States
     

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This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.

Keywords

Artificial Intelligence, Construction, Machine Learning, Neural Nets, Visual Editing
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  • A Development Framework for a Conversational Agent to Explore Machine Learning Concepts

Abstract Views: 119  |  PDF Views: 0

Authors

Arslan I AyseKok
University of Oxford Alumni- (Research Group, Alumni Association, Northern California), United States

Abstract


This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.

Keywords


Artificial Intelligence, Construction, Machine Learning, Neural Nets, Visual Editing

References