Document Type
Thesis
Date of Award
2022
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
KC Santosh
Abstract
A lack of a standardized set of principles within the computer science community is a major issue that impacts the entire field while also creating a level of mistrust among both practitioners of computer science as well as the public. This statement is particularly true when artificial intelligence(AI) is of concern. To create trust in anything one must show that the method of creation is done in a responsible manner. To standardize a set of principles within the computer science community would be to show that the creation of programs and AI can be done responsibly, though this standardization of principles would have to take into consideration the multidisciplinary nature of computer science and AI. The primary focus of this work is to gather resources and ideas in order to gain knowledge that may assist in the standardization of principles and terms within the computer science community. Another focus of this work is to show that implementation of some principles of AI can be easily used but are only in a primary stage.
Subject Categories
Computer Sciences
Keywords
Ethical artificial intelligence, XAI
Number of Pages
46
Publisher
University of South Dakota
Recommended Citation
Wall, Casey, "What is explainable AI?: A focus on ethical theory" (2022). Dissertations and Theses. 305.
https://red.library.usd.edu/diss-thesis/305
