Tag: ChatGPT
-
Postplagiarism Fundamentals: Integrity and Ethics in the Age of GenAI
Dr. Sarah Elaine Eaton’s presentation on postplagiarism introduces a framework for understanding integrity and ethics amidst generative AI advancements. She outlines six tenets highlighting the importance of responsibility in writing, the role of attribution, and shifts in educational practices. The concept promotes teaching over policing in academic integrity, gaining global recognition.
-
When Good Ideas Meet Poor Execution: The Humane AI Pin and the Future of Language Translation
The Humane AI Pin aimed to revolutionize language translation through wearable technology powered by AI. Despite initial hype and strong pre-orders, user reviews were poor due to execution issues, leading to its retirement within a year. Nonetheless, the failure highlights the potential for AI to break language barriers in integrated applications.
-
Upcoming Talk: From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education
Join us on January 29, 2025, for the inaugural postplagiarism talk titled “From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education,” led by Dr. Sarah Elaine Eaton. This hybrid event will address integrating Generative AI in academia while maintaining integrity and fostering original scholarship. Register to participate!
-
Redefining Plagiarism in the Age of AI
The online presentation “Redefining Plagiarism” discussed the evolving concept of plagiarism in light of technological advancements, particularly Generative AI. As AI blurs the lines of originality and intellectual ownership, definitions of plagiarism must adapt. It emphasizes the need for quality-focused evaluation and maintains the importance of human accountability in creative work.
-
Artificial intelligence tools may widen the gap between international students from different language backgrounds
The rise of AI tools has bridged language gaps for international students but reveals challenges, particularly language bias. While some languages benefit from robust training data, others lag, affecting communication and academic performance. This digital divide necessitates targeted support and inclusive assessment methods to ensure equitable opportunities for all students regardless of their native language.
-
Postplagiarism 