A Development Framework for a Conversational Agent to Explore Machine Learning Concepts
Published: 2021
Author(s) Name: AyseKok Arslan I |
Author(s) Affiliation: University of Oxford Alumni - (Research Group, Alumni Association, Northern California, USA).
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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.
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