Integrity in the Age of AI: Confronting Academic Plagiarism

AI Textbook - 100+ pages

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'Integrity in the Age of AI: Confronting Academic Plagiarism' dives deep into the pressing issue of plagiarism within the higher education system, magnified by the advent of AI technologies. This book offers a meticulous examination of the ethical quandaries, legal frameworks, and the transformative role of AI in detecting and managing plagiarism.

The book begins by exploring the traditional understanding of academic honesty and how it has been challenged in modern times. It then delves into the evolution of plagiarism detection, highlighting the pivotal role of AI. Subsequent chapters discuss the legal and ethical implications of AI-detected plagiarism, including case studies from renowned institutions.

Furthermore, the book addresses the controversial aspects of AI in plagiarism detection, such as potential biases, the privacy of academic work, and the future of academic integrity in the digital age. Finally, it proposes solutions and best practices for educators, administrators, and policy-makers to uphold academic integrity while embracing technological advancements.

Join us in exploring this critical aspect of academia, where traditional ethics meet cutting-edge technology.

Table of Contents

1. The Landscape of Academic Integrity
- Examining Traditional Views and Modern Challenges

2. Evolution of Plagiarism Detection
- From Manual Methods to AI

3. AI in Academia
- Opportunities and Risks

4. Legal Frameworks
- Understanding the Laws Governing Plagiarism and AI

5. Ethical Dilemmas
- Balancing Fairness and Integrity

6. Case Studies
- Notable Incidents of Plagiarism and AI Intervention

7. Bias in AI
- Addressing Inequalities in Plagiarism Detection

8. Privacy Concerns
- Protecting Academic Work in the Digital Age

9. Future of Academic Honesty
- Embracing Technology Responsibly

10. Best Practices for Educators
- Upholding Integrity with AI

11. Policy Recommendations
- Guiding the Higher Education System

12. Looking Ahead
- The Evolving Role of AI in Academic Integrity

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