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The Mars Pineapple Hotel is an innovative marketing project that utilizes generative AI technology to create videos and images based on specified requirements. The hotel targets astronauts, scientists, and individuals interested in future technology and space travel. Its unique selling points include a pineapple-inspired design, emphasizing technological innovation, and personalized experiences such as stargazing through grid skylights and experiencing lunar craters in space capsule rooms. However, there are challenges in terms of the unstable quality of AI-generated content and the inability of AI to understand human emotions and create individualized experiences. Feedback and improvements are needed to enhance the marketing outcome and address these challenges.
- Subjects:
- Marketing and Hotel, Travel and Tourism
- Keywords:
- Hotels -- Marketing Artificial intelligence Hospitality industry -- Marketing
- Resource Type:
- Others
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Video
Generative AI challenges Higher Education institutions, educators and their practices to critically re-appraise the nature of what should and could be assessed. Gen AI can support equity and enhance new assessment designs. However, it also challenges us to reconsider what is valued, who is involved and what assessment can reliably reveal. This workshop will discuss the Australian Higher Education response to generative AI and explore the opportunities and challenges in relation to assessment.
Event Date: 19/6/2023
Facilitator(s): Michael Henderson (Monash University), Dick Chan (EDC)
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Video
A world class AI expert will explain to us in layman terms the power and limitations of generative AI tools, key factors that affect their performances and what users should know before deciding to use these tools and when reviewing the responses from these tools. Be inspired to discover more applications of these tools!
Event Date: 13/6/2023
Presenter: Prof. Usama Fayyad, Executive Director of the Institute for Experiential AI, Khoury College of Computer Sciences, Northeastern University, USA
Facilitator(s): Eric Tsui (EDC), Ioanna Pavlidou (ITS)
- Keywords:
- Machine learning Artificial intelligence Education -- Effect of technological innovations on
- Resource Type:
- Video
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Video
Join colleagues from the Department of Computing (COMP) and the English Language Centre (ELC) as they share their insights, experiences, challenges and plans on redesigning assessments in response to the emergence of generative AI. In this webinar, participants will learn how PolyU staff are adapting their assessment strategies to incorporate AI-generated content, while still maintaining academic integrity and ensuring student learning outcomes are met. This session will provide valuable perspectives for educators who are interested in leveraging AI in their own teaching and assessment practices.
Event Date: 30/5/2023
Facilitator(s): Richard Lui (COMP), Adam Forrester (ELC), Mitesh Patel (EDC)
- Subjects:
- Student Engagement, Assessment & Feedback, Lesson Design, and Good Practices
- Keywords:
- Artificial intelligence Computer-assisted instruction Education -- Effect of technological innovations on Educational technology
- Resource Type:
- Video
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Video
Join a panel of the Directors of the educational development/enhancement centres in UGC-funded institutions in this hybrid seminar in which they explain their respective institutions’ stance and actions towards the use of Generative AI in learning, teaching and assessment. It is our honour that the UGC Secretary-General will facilitate the panel discussion. Examples of how assessment and learning activities are re-designed in different institutions to leverage the use of Generative AI will be presented, with sharing from teachers and students.
Event Date: 8/5/2023
Speakers (in order of university name):
Prof. Kenneth Lo, Director, TED, CityU
Dr Theresa Kwong, Director, CHTL, HKBU
Prof. Chun Ka Wai, Cecilia, Director, CLEAR, CUHK
Prof. Kong Siu Cheung, Director, LTTC, EDUHK
Dr Julia Chen, Director, EDC, PolyU
Dr Sean McMinn, Director, CEI, HKUST
Prof. Cecilia KY Chan, Associate Director, CETL, HKU
Facilitator(s): Prof. James Tang, Secretary-General, University Grants Committee
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
In this webinar, we present a selection of AI tools that are currently available, explain how to access them, and consider some potential uses of the tools in an educational setting.
Event Date: 31/3/2023
Facilitator(s): Darren Harbutt (EDC), Dick Chan (EDC), Jacky Chau (EDC), Anthony Ho (EDC)
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Video
In this ‘Student Voices’ session, students share their views on, and experiences with, emerging Generative AI tools, including ChatGPT. The session will provide a conversation opportunity between teachers and students in this rapidly changing area, and a valuable chance to hear the learner's perspective.
Event Date: 23/3/2023
Facilitator(s): Dr Julia Chen (EDC), Mr Anthony Ho (EDC)
Honourable moderator for Q&A session: Prof David Shum, Dean of FHSS
EDC Coordinator: Darren Harbutt
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
ChatGPT is the latest generative AI tool to hit the news and universities worldwide are racing to respond to the challenges to academic integrity and opportunities to higher education it offers. In this online session, a range of participants discuss the big issues surrounding ChatGPT and other AI technology, and outline possible responses universities can make.
Event Date: 16/2/2023
Facilitator(s): Dr Julia Chen (EDC), Mr Darren Harbutt (EDC), Mr Dick Chan (EDC), Mr Adam Forrester (ELC), Prof Song Guo (COMP),Dr Melody Lu (CPCE),Prof Eric Friginal (ENGL)
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
In this lecture, Prof. Sifakis will discuss the relevance of existing criteria for comparing human and machine intelligence and show some notable analogies and differences between scientific knowledge and that produced by neural networks. Emphasising that autonomy is an important step towards Artificial General Intelligence (AGI), he will present a characterisation of autonomous systems, and showing key differences with mental systems equipped with common sense knowledge and reasoning, and advocate challenging work directions, including the development of a new foundation for systems engineering and scientific knowledge, and the joint exploration of physical and mental phenomena that embody human intelligence.
Event date: 3/3/2023
Speaker: Prof. Joseph Sifakis
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Human-Computer Interaction
- Keywords:
- Artificial intelligence
- Resource Type:
- Video
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Courseware
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
- Course related:
- COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
- Subjects:
- Human-Computer Interaction and Computing
- Keywords:
- Computer programming Computer science Python (Computer program language) Artificial intelligence
- Resource Type:
- Courseware
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