國立虎尾科技大學 |

Co-Creativity and AI Ethics.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Co-Creativity and AI Ethics./
Author:	Gokul, Vignesh.
Description:	1 online resource (99 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-10, Section: A.
Contained By:	Dissertations Abstracts International85-10A.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798382084664

Co-Creativity and AI Ethics.
Gokul, Vignesh.

Co-Creativity and AI Ethics. - 1 online resource (99 pages)

Source: Dissertations Abstracts International, Volume: 85-10, Section: A.

Thesis (Ph.D.)--University of California, San Diego, 2024.

Includes bibliographical references

With the development of intelligent chatbots, humans have found a method to communicate with artificial digital assistants. However, human beings are able to communicate an enormous amount of information without ever saying a word, eg. gestures and music. My research objective is to enable non-verbal communication between humans and artificial agents, a problem I call co-creativity. My work explores controlling generative models that can intelligently interact with data such as gestures (videos) and music (audio).Another area of my research focuses on ethical issues stemming from using data to train such machine learning models. We investigate ways to protect the privacy of the data owner and prevent unauthorized usage/ leakage of private information during training machine learning models. We then propose a method to create unlearnable audio datasets to prevent unauthorized usage of data for model training.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382084664Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Intelligent chatbotsIndex Terms--Genre/Form:

554714
Electronic books.

Co-Creativity and AI Ethics.
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502 $a Thesis (Ph.D.)--University of California, San Diego, 2024.
504 $a Includes bibliographical references
520 $a With the development of intelligent chatbots, humans have found a method to communicate with artificial digital assistants. However, human beings are able to communicate an enormous amount of information without ever saying a word, eg. gestures and music. My research objective is to enable non-verbal communication between humans and artificial agents, a problem I call co-creativity. My work explores controlling generative models that can intelligently interact with data such as gestures (videos) and music (audio).Another area of my research focuses on ethical issues stemming from using data to train such machine learning models. We investigate ways to protect the privacy of the data owner and prevent unauthorized usage/ leakage of private information during training machine learning models. We then propose a method to create unlearnable audio datasets to prevent unauthorized usage of data for model training.
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653 $a Audio datasets
653 $a Recombinant video synthesis
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