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  4. The role of AI in complex problem-solving and implications for human-centric AI

The role of AI in complex problem-solving and implications for human-centric AI

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Lee_cornellgrad_0058F_14392.pdf (4.54 MB)
Permanent Link(s)
https://doi.org/10.7298/hb70-r792
https://hdl.handle.net/1813/116501
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Cornell Theses and Dissertations
Author
Lee, Anne
Abstract

This dissertation explores the current and potential roles of AI in a complex problem-solving. Especially, the dissertation focuses on how AI can support creative design and decision-making. Chapter 2 includes a systematic literature review and a design workshop with design experts to understand when and how to use AI in the design process. Chapter 3 compares the different roles of AI in creative design problem-solving. The study compares two different roles of AI depending on its proactivity in interaction. 1) Active AI, which helps humans understand design problems with constraints through mutual collaboration; 2) Reactive AI, which helps only when humans seek it out. Chapter 4 examines how people make decisions in AI-assisted decision-making and its ethical implications. This chapter investigates how the identity of the suggestion giver (AI vs. human experts) and the accuracy of the information (correct vs. incorrect) influence decision-making behaviors. Chapter 5 provides a summary of the main findings with their design and practical implications.

Description
179 pages
Date Issued
2024-08
Committee Chair
Evans, Gary
Committee Member
Hoffman, Guy
Won, Andrea
Degree Discipline
Design and Environmental Analysis
Degree Name
Ph. D., Design and Environmental Analysis
Degree Level
Doctor of Philosophy
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc-nd/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16611929

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