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Co-Creativity and AI Ethics
Co-Creativity and AI Ethics
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211150926
- ISBN
- 9798382084664
- DDC
- 004
- 저자명
- Gokul, Vignesh.
- 서명/저자
- Co-Creativity and AI Ethics
- 발행사항
- [Sl] : University of California, San Diego, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 99 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-10, Section: A.
- 주기사항
- Advisor: Dubnov, Shlomo;Chandraker, Manmohan.
- 학위논문주기
- Thesis (Ph.D.)--University of California, San Diego, 2024.
- 초록/해제
- 요약With 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.
- 일반주제명
- Computer science
- 일반주제명
- Communication
- 일반주제명
- Information technology
- 키워드
- Audio datasets
- 기타저자
- University of California, San Diego Computer Science and Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-10A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211150926
■006m o d
■007cr#unu||||||||
■020 ▼a9798382084664
■035 ▼a(MiAaPQ)AAI30988716
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aGokul, Vignesh.
■24510▼aCo-Creativity and AI Ethics
■260 ▼a[Sl]▼bUniversity of California, San Diego▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a99 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-10, Section: A.
■500 ▼aAdvisor: Dubnov, Shlomo;Chandraker, Manmohan.
■5021 ▼aThesis (Ph.D.)--University of California, San Diego, 2024.
■520 ▼aWith 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.
■590 ▼aSchool code: 0033.
■650 4▼aComputer science
■650 4▼aCommunication
■650 4▼aInformation technology
■653 ▼aIntelligent chatbots
■653 ▼aArtificial digital assistants
■653 ▼aNon-verbal communication
■653 ▼aAudio datasets
■653 ▼aRecombinant video synthesis
■690 ▼a0800
■690 ▼a0984
■690 ▼a0489
■690 ▼a0459
■71020▼aUniversity of California, San Diego▼bComputer Science and Engineering.
■7730 ▼tDissertations Abstracts International▼g85-10A.
■790 ▼a0033
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160173▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
