Honors Program Theses
Award/Availability
Open Access Honors Program Thesis
First Advisor
Eugene Wallingford
Abstract
The main purpose of this research is to shed light on the good and bad that has come about from the interaction of Big Data and Artificial Intelligence in society. Transparency with the public is paramount for the future of Artificial Intelligence. Without awareness, the public is blind to the parts of the Data Revolution that could help them or hinder them. The key question is what AI advancements are being made and what ethical problems do they pose to the general population? To help answer this question, it is best to examine the founding of Artificial Intelligence and the views the founders had on the matter of ethics.
Year of Submission
2023
Department
Department of Computer Science
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
5-2023
Object Description
1 PDF file (34 pages)
Copyright
©2023 Jacob Kuhn
Recommended Citation
Kuhn, Jacob, "Data Ethics and the Dilemma Created by Turing's Learning Machines" (2023). Honors Program Theses. 694.
https://scholarworks.uni.edu/hpt/694
