#academic-integrity News & Analysis

6 articles tagged with #academic-integrity. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

AIBearisharXiv – CS AI · Mar 46/102

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Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Researchers developed a method to detect AI-generated content at scale and found that 6.5-16.9% of peer reviews at major AI conferences after ChatGPT's release were substantially modified by LLMs. The study reveals concerning patterns where AI-generated reviews correlate with lower reviewer confidence, last-minute submissions, and reduced engagement in rebuttals.

AINeutralarXiv – CS AI · 6d ago6/10

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Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape

A large-scale survey of 457 software engineering researchers reveals that generative AI adoption is widespread in academic research, concentrated primarily in writing and early-stage tasks. While researchers perceive significant productivity gains, persistent concerns about accuracy, bias, and lack of governance frameworks highlight the need for clearer guidelines on responsible AI integration in academic practice.

AINeutralarXiv – CS AI · 6d ago6/10

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C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts

Researchers have introduced C-ReD, a Chinese benchmark dataset for detecting AI-generated text that addresses gaps in model diversity and data homogeneity. The dataset, derived from real-world prompts, demonstrates reliable in-domain detection and strong generalization to unseen language models, with resources publicly available on GitHub.

AINeutralarXiv – CS AI · Apr 106/10

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Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations

Researchers introduce AI-Sinkhole, an AI-agent augmented DNS-blocking framework that dynamically detects and temporarily blocks LLM chatbot services during proctored exams to prevent academic integrity violations. The system uses quantized LLMs for semantic classification and Pi-Hole for network-wide DNS blocking, achieving robust cross-lingual detection with F1-scores exceeding 0.83.

AINeutralFortune Crypto · Mar 64/10

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We’re economists who designed a chatbot to help our students reason instead of cheat. Meet ‘Macro Buddy’

Economists have developed 'Macro Buddy,' a chatbot designed to help students learn and reason rather than cheat, as survey data shows 90% of 1,100 U.S. college students reported using generative AI in 2025. The tool represents an educational approach to integrating AI into academic settings while addressing concerns about academic integrity.

AINeutralarXiv – CS AI · Mar 54/10

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STEM Faculty Perspectives on Generative AI in Higher Education

A study of 29 STEM faculty members reveals mixed adoption of generative AI tools in higher education, with educators using AI for content generation and curriculum design while expressing concerns about academic integrity and assessment validity. The research highlights the need for institutional support and rethinking of pedagogical approaches to effectively integrate AI technologies into educational settings.