HKU

HKU introduces new policy to fully integrate GenAI in Teaching and Learning

• 发布单位Publishing unit HKU Lead / HKU communications
• 官方来源Official source https://lead.hku.hk/en/article/2023/08/hku-introduces-new-policy-to-fully-integrate-genai-in-teaching-and-learning
• 页面日期Page date Aug 2023

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HKU introduces new policy to fully integrate GenAI in Teaching and Learning

The University of Hong Kong (HKU) has announced its commitment to incorporating next-generation artificial intelligence technology, GenAI, into its teaching and learning environment starting from the 2023-24 academic year.

In June, the University Senate endorsed a comprehensive policy for using GenAI in teaching and learning. This incorporation of GenAI will establish it as the fifth literacy for HKU students, alongside the current four literacies of oral, written, visual, and digital communication, under the HKU communication-intensive course (CiC) initiative.

Over the past several months, HKU has offered free access to ChatGPT and other generative AI tools for teaching staff. Beginning this new semester in September, a wide range of GenAI tools such as Microsoft OpenAI and Dall-E will be provided for free to all teachers and students for teaching and learning purposes^{机构工具Institutional tools}. Trainings and online courses and other resources will be provided to ensure the effective use of these tools.

"HKU embraces GenAI and recognizes AI literacy as essential to teaching and learning. Our goal is to enable our teachers and students to become not only AI literate but also leaders in exploiting the vast potential of GenAI for the benefit of mankind," said Professor Ian Holliday, Vice-President and Pro-Vice-Chancellor (Teaching and Learning), who earlier led the task force to formulate the policy paper. He will chair a new GenAI User Advisory Committee to oversee the integration of GenAI in teaching and learning, and determine which GenAI tools should be incorporated and how they can best support student learning.

Under the new policy, teachers are encouraged to optimise student learning with GenAI including devising creative, engaging and innovative T&L activities; fostering analytical thinking; developing critical research skills; creating content tailored to individual needs and interests, etc.

To maintain the highest standards of GenAI integration, periodic evaluations involving multiple stakeholders, such as teachers, students, and IT administrators, will be conducted. These evaluations will inform future strategies and tactics to address any emerging challenges.

Teachers are encouraged to embrace GenAI in assessment, and to devise mechanisms for evaluate student attainment authentically and fairly. The aim is to ensure the responsible and effective use of GenAI tools, and to uphold the highest standard of academic integrity.

To address the challenges posed by GenAI on student work assessments, teachers are to clearly communicate expectations and provide guidance on proper declaration and citation of GenAI tools used in coursework tasks and assignments^{披露要求Disclosure}. Alternative assessment methods will be encouraged, prompting students to use GenAI tools in their submitted work. Examples include device-free examinations, oral examinations, live classwork such as demonstrations and presentations, and student peer assessments.

Additional resources for students and staff in need of AI support, including the AI Clinic, AI in Education website, and a five-week self-paced online module, will serve as valuable sources of information and guidance on responsible AI use.

“By boosting critical engagement with GenAI, we aim to elevate teaching and learning at the University to new heights of academic excellence.” Professor Holliday said.

AI Literacy: HKU GenAI Policy

• 发布单位Publishing unit HKU Libraries
• 官方来源Official source https://libguides.lib.hku.hk/AI-literacy

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What is AI Literacy?

Referring to

HKU Policy on Use of Generative Artificial Intelligence for Teaching and Learning

,

AI literacy comprises the ability to comprehend, use, interact with, and make informed decisions regarding AI technology in daily life. It involves understanding the basic principles of AI, recognising its applications, and being aware of ethical, social, and privacy implications while responsibly engaging with AI systems.

This guide with curated learning resources aims to help HKU students and staff 1) deepen their understanding of AI, 2) learn about some Generative AI (GenAI) tools or AI-empowered tools that can enhance their learning and research experience, and 3) make individual decisions on selecting appropriate AI tools based on their own learning and research needs.

HKU GenAI Policy

HKU introduces new policy to fully integrate GenAI in teaching and learning

01 Aug 2023

The University of Hong Kong (HKU) is embracing generative artificial intelligence (GenAI) tools, such as ChatGPT, in teaching and learning to actively enhance students' cognitive abilities and application skills. The University will provide resources and support, enabling staff and students to not only be users of GenAI but also pioneers in exploring its potential applications.

You may log in with your HKU email account to see the details in the policy document:

HKU Policy on Use of Generative Artificial Intelligence for Teaching and Learning (2023)

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GenAI in Research Guidelines

Guidelines on the Responsible Use of Generative AI in Research at The University of Hong Kong by HKU Research Integrity Sub-Committee (Sep 2025)

Ethical Use of AI

Guidance for Ethical Use of AI by HKU Teaching and Learning Innovation Centre (

22 Aug 2025)

HKU-Licensed AI Tools

General Research Support

HKU GenAI

Microsoft 365 Copilot

Getting Started with a Research Topic

Primo Research Assistant

Scite AI

Literature Discovery and Review

LeapSpace

Consensus

Explore AI-powered tools integrated into HKU Libraries' subscribed databases at

AI Features in Library Databases

Teaching and Learning / Core Principles

• 发布单位Publishing unit HKU TALIC AI in Education
• 官方来源Official source https://aied.talic.hku.hk/teaching-and-learning/

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Core Principles on the Use of AI for

Teaching and Learning

Core Principles on the Use of AI for

Teaching and Learning

Core Principles on the Use of AI for Teaching and Learning

The development of core principles on the use of AI for teaching and learning is essential to ensure that this technology is used in an effective and responsible way. AI has the potential to revolutionize education, but it can also be used in ways that harm students and reinforce inequality. By developing core principles, educators can ensure that AI is used to enhance learning.^{学习理由Learning rationale} These principles can also ensure the use of AI is transparent and accountable.

1. Access

AI should be accessible to all learners regardless of their background and abilities. This means that efforts should be made to ensure that AI tools and resources are available and affordable to everyone, and that they are designed in a way that is easy to use and understand.

2. Security

AI systems should be designed with security in mind, with appropriate measures in place to protect data and prevent unauthorized access or misuse. This includes ensuring that user data is encrypted and stored securely, and that access to AI systems is restricted to authorized users only.

3. Integrity

Teachers can establish guidelines and policies that require students to disclose the use of generative AI in their work. Additionally, teachers can employ plagiarism detection software that is capable of detecting content generated by AI, and educate students on the importance of maintaining ethical standards in scholarship.

4. Literacy

People need effectively collaborate with AI and critically evaluate AI. AI competencies are needed to effectively and ethically transform the way that we work, teach and study. Users need to ask questions, challenge assumptions, and seek out additional information when using AI.^{核实责任Verification duty}

5. Pedagogy

AI should be used to support, not replace, traditional teaching methods.^{摘录Excerpt} This means that AI systems should be designed to complement existing teaching methods, and that they should be used in conjunction with other teaching resources and strategies.

6. Assessment

AI technologies could be introduced to support the assessment and evaluation of learning outcomes. In other words, AIs could help teachers to identify areas where learners may need additional support or resources. Meanwhile, teachers could design authenatic assessments that could not be answered by AIs directly.