附註:Includes bibliographical references and index.
Chapter 1. Fostering academic integrity in the age of artificial intelligence -- Chapter 2. The british battle for authenticity: defending academic integrity in the age of AI -- Chapter 3. Revising Australian academic integrity policy for the age of artificial intelligence -- Chapter 4. Embracing generative AI in the classroom whilst being mindful of academic integrity -- Chapter 5. Redefining classroom readiness: how initial teacher training can mitigate risks and capitalize on the potential of GenAI -- Chapter 6. (A)i'm a believer, but (A)i'm also responsible -- Chapter 7. Exploring the profound impact of AI on higher education and students: shaping tomorrow's workforce -- Chapter 8. Reframing assessments: designing authentic assessments in the age of generative AI -- Chapter 9. AI as an accessibility tool: using generative AI to support universal design for learning approach -- Chapter 10. The inherent uncertainties of AI-text detection and the implications for education institutions: an overview -- Chapter 11. AI detection's high false positive rates and the psychological and material impacts on students -- Chapter 12. Detecting is just the start: deciding whether to take action and generating evidence is harder -- Chapter 13. Harnessing the power of generative artificial intelligence to promote academic integrity -- Chapter 14. Empowering students from assumptions to knowledge: making integrity everyone's business -- Chapter 15. New innovations in higher education's academic integrity and classroom strategies.
摘要:"Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity.The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the linesbetween authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics."--
