Category: Uncategorized
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Our Epistemic Boundaries between Learning and Assessment in a Postplagiarism Era
Bibek Dahal reflects on the postplagiarism speaker series led by Dr. Soroush Sabbaghan at the University of Calgary, focusing on the challenges of adapting learning and assessment practices in the era of generative AI. Key themes include the need for visible learning processes and prioritizing integrity, belonging, and human judgment over mere artifact-based assessments.
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Smart or Shallow? Reflections on Postplagiarism, Trust, and Learning with GenAI
Rahul Kumar’s presentation at the University of Calgary discusses the impact of GenAI on post-secondary education, emphasizing the emerging idea of “postplagiarism.” Students increasingly view traditional plagiarism definitions as inadequate amid AI usage, leading to questions of trust and reliance. Educators should focus on guiding AI use to enhance learning.
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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.
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A Brief History of Postplagiarism: Or, Why Fabrication is Not the New Flattery
In this post I share how I discovered a peer-reviewed article on postplagiarism that includes fake references, including attributed work that I never wrote. I summarize legitimate contributions to the postplagiarism discourse, emphasizing the importance of responsibility in written work, and highlight our website offering free resources.
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Decriminalizing Academic Integrity Language
Sarah Elaine Eaton discusses the concept of decriminalizing language related to academic misconduct, emphasizing a supportive, educational approach rather than a punitive one.This shift encourages dignity and ethical decision-making in academia.
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2025-2026 Postplagiarism Speaker Series: Navigating AI in Education
The 2025-2026 Postplagiarism Speaker Series, hosted by CAIELI at the University of Calgary, explores AI’s impact on education and academic integrity. It features leading researchers discussing practical strategies for integrating AI while preserving ethical standards. The series aims to reshape assessments and cultivate integrity in AI-enhanced learning environments.
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New Open Access Chapter: “Pedagogical Ethics: Navigating Learning in a Generative AI-Augmented Environment in a Post-Plagiarism Era”
The chapter “Pedagogical Ethics: Navigating Learning in a Generative AI-Augmented Environment in a Post-Plagiarism Era,” co-authored by Sarah Elaine Eaton and Mohammad Keyhani, discusses the implications of generative AI in education, focusing on academic integrity and pedagogical ethics. It emphasizes learner agency and offers guidance for educators, available as open access.
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Postplagiarism: Understanding the Difference Between Referencing and Giving Attribution
In the talks I give on postplagiarism, I distinguish between attribution and referencing amid evolving academic practices influenced by artificial intelligence. Attribution transcends mere technical referencing. The discourse urges an exploration of attribution as an ethical commitment in the postplagiarism era.
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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.
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Teaching Fact-Checking Through Deliberate Errors: An Essential AI Literacy Skill
This teaching resource presents a method for enhancing AI literacy by engaging students in fact-checking AI-generated content with intentional inaccuracies. It emphasizes systematic verification processes, critical evaluation of sources, and understanding AI error patterns, equipping students with essential skills to discern accurate information in a postplagiarism landscape.
Postplagiarism 