Artificial Intelligence (AI) is transforming the way we learn, research, and create. At HKU Libraries, we are committed to supporting your academic journey with tools, guidance, and activities that promote responsible and effective use of AI. Explore these key resources:
🔍 1. AI Literacy LibGuide
The AI Literacy LibGuide is HKU Libraries’ central resource for understanding and using artificial intelligence in academic contexts. It provides a curated GenAI Tools Map, tutorials, and guidance on the ethical and responsible use of AI in learning and research. The guide also covers practical topics, such as citing AI-generated content, academic integrity, and copyright considerations, helping students and staff navigate AI technologies with confidence and transparency.
The HKU Libraries guide explains how to properly acknowledge AI-generated content in academic work properly, ensuring transparency and integrity. It outlines citation practices for major styles such as APA, MLA, Chicago and Harvard, including how to reference prompts, tool names, versions, and dates. The page also advises adding explanatory notes on how AI was used and stresses compliance with faculty-specific guidelines. These recommendations help ensure the responsible and ethical integration of AI tools in research and writing.
The page highlights HKU Libraries’ initiatives and some other iconic learning resources to build AI literacy through structured learning opportunities. It introduces the AI Literacy for U Series, which offers workshops and seminars on responsible AI use, ethical considerations, and practical applications in academic work. The guide also directs students and staff to external courses and resources for further learning, such as "Generative AI Essentials" by DeepLearning.AI, "AI for Good" and "Innovative Teaching with ChatGPT" on Coursera, ensuring that they can develop the critical skills necessary for navigating AI technologies. These programmes aim to empower learners to use AI tools effectively while maintaining academic integrity.
This online guide provides an overview of key copyright issues related to generative AI. It addresses key topics, including copyright protection eligibility, infringement liability, the use of copyrighted works for AI training, and considerations for licensing content for AI training. The guide also explores emerging topics such as the proposed Text and Data Mining exception in Hong Kong, the implications of using Creative Commons (CC) licensed works for AI training, and CC Signals, a new Creative Commons initiative that enables content owners to ethically and transparently express their preferences for AI training use.
This page explains how Turnitin’s AI writing detection tool works and its role in maintaining academic integrity. It highlights that the tool identifies text likely generated by AI, but results should be interpreted cautiously, as false positives and negatives can occur. The guide advises instructors and students to use detection reports as a starting point for discussion rather than definitive proof. It also emphasises transparency and responsible AI use in academic work.
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