> For the complete documentation index, see [llms.txt](https://emory.gitbook.io/conversational-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://emory.gitbook.io/conversational-ai/preface.md).

# Preface

Artificial Intelligence (AI) has advanced to the point that it starts interacting with humans in natural language. This communication ability makes AI an integral part of human society as a collaborator and companion. Thus, it is essential to understand how AI can (and should) be designed to conduct meaningful conversations with humans. The main objectives of this course are:

* To discover technical approaches to dialogue systems.
* To conceive manifold use cases of dialogue systems.
* To study effective ways of Human-Computer Interaction.
* To develop a dialogue system using methods in Computational Linguistics.
* To comprehend the limitations of your dialogue system through Statistical Analysis.

Students will have individual assignments and work in groups to build end-to-end dialogue systems of their choice. Toward the end of the semester, all teams will present the dialogue systems with live demonstrations.

* [Syllabus](/conversational-ai/preface/syllabus.md)
* [Schedule](/conversational-ai/preface/schedule.md)

## LINC Course

For Spring 2023, this is selected as a [LINC (Learning through Inclusive Collaboration)](http://ila.emory.edu/initiatives/linc-courses/) course. Thus, it will include collaborative work with students taking [IDS 385W - Translation: Who, What, How](/conversational-ai/supplements/linc-course.md).


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