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Safeguarding Educational Integrity Through Deepfake Face Detection.

IGI Global InfoSci-Books Available online

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Format:
Book
Author/Creator:
Obaid, Ahmed J., author.
Language:
English
Subjects (All):
Deepfakes.
Physical Description:
1 online resource (488 pages)
Edition:
1st ed.
Place of Publication:
Hershey : IGI Global Scientific Publishing, 2025.
Summary:
In this era of technological advancements, the rise of AI and deepfakes have become a threat to educational integrity. Hyper realistic synthetic videos and advanced machine learning techniques have the potential to manipulate and distort academic integrity. As online learning and distance learning become more prominent, the need for robust safeguards against identity fraud and content manipulation have become more urgent now than ever. The critical role of deepfake detection technologies in protecting the integrity of education, examining their potential to ensure that institutions can uphold academic standards in a digitally evolving world. Safeguarding Educational Integrity Through Deepfake Face Detection explores the rising threat of deepfake technology within academic institutions. This book discusses how AI-driven misinformation is and its implications in higher education. Covering topics such as AI, security, and deepfake detection, this book is an excellent resource for academics, higher education administrators, AI developers, and graduate students.
Contents:
Title Page
Copyright Page
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Balancing Ethical Implications of Using AI and Deepfake Technology for Academic Purposes
Chapter 2: Deepfake Technology Development and How It Affects Higher Education
Chapter 3: AI-Powered Identity Verification Systems to Protect Remote Learning
Chapter 4: Empowering Minds on Strengthening Digital Media Literacy to Combat Deepfake Misinformation in Education
Chapter 5: Learning in the Age of Illusion on Rethinking Pedagogy for Deepfake-Driven Digital Classrooms
Chapter 6: Current and Future Techniques of AI-Based Deepfake Detection
Chapter 7: Analysing Deepfake-Related Scandals in Higher Education
Chapter 8: Unpacking the Psychological and Social Impact of Deepfake Technology on Students
Chapter 9: Legal Challenges and Policy Responses to Deepfake Abuse in Schools
Chapter 10: Seeing Isn't Believing
Chapter 11: Smart but Secure on Navigating the Tension Between Innovation and Safety in AI-Powered Education
Chapter 12: Convergence of Blockchain and Digital Forensics to Authenticate Academic Credentials
Chapter 13: Deepfake Manipulation Protection Using Digital Media Literacy Education
Chapter 14: The Challenges of AI-Based Proctoring Systems in Online Exams
Chapter 15: From Novelty to Threat in the Evolution of Deepfakes and Their Disruptive Influence on Higher Education
Chapter 16: Implementing Cybersecurity Policies to Minimize the Impacts of Deepfakes on Universities
Chapter 17: Human-AI Collaboration in Combatting Digital Fraud in Education
Compilation of References
About the Contributors
Index.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
979-83-373-3773-9
979-83-373-3772-2
OCLC:
1569119320

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