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Video
The seminar began with a warm welcome by Prof. CHEN Qingyan, Director of PAIR, followed by a brief introduction of the speaker by Mr Gavin NGAI, Deputy Director of the Global Engagement Office. Dr Tzezana commenced his presentation by identifying the common myths about AI and discussing how these myths hinder public awareness of AI’s rapid development in various fields. He then projected AI’s capabilities towards the end of the decade, suggesting that AI would soon outperform humans in many areas. Dr Tzezanna also examined the broader implications of these advancements, particularly their impact on the future of work, and offered insights into the skills and knowledge areas essential for staying competitive and successful in this rapidly evolving landscape.
Event date: 24/9/2024
Speaker: Dr Roey TZEZANA
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Computing and Mechanical Engineering
- Keywords:
- Artificial intelligence
- Resource Type:
- Video
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Video
The seminar began with a warm welcome by Prof. ZHANG Weixiong, Associate Director of PAIR, followed by a brief introduction of the speaker by Prof. ZHANG Chengqi, Chair Professor of Artificial Intelligence. Prof. Liu kick-started his presentation by outlining the key milestones in the evolution of robotics, and pointed out that human-centred intelligent robots should be able to co-exist, cooperate and collaborate with humans. He stated that robotics is a truly interdisciplinary field that combines engineering, science and humanities. Next, through a series of case studies, Prof. Liu examined how intelligent robots have been designed to work alongside humans in various applications, including civil infrastructure maintenance, construction, and manufacturing. He then discussed the dynamics of collaboration between humans and robots, and examined issues such as trust, computational modelling, physical and cognitive workload, brain-robot interface and human-centred design. By reflecting on the lessons learnt from these case studies, Prof. Liu highlighted both successes and challenges. At the end of his presentation, Prof. Liu emphasised that human-robot teaming is an interdisciplinary field. He also pointed out some areas for further development in the field, highlighting the many opportunities in robotics.
Event date: 10/10/2024
Speaker: Prof. LIU Dikai
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Computing and Mechanical Engineering
- Keywords:
- Human-robot interaction Robotics Artificial intelligence
- Resource Type:
- Video
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MOOC
Explore the frontiers of technology, predict the future, and thrive in an ever-changing world. Our immersive course combines cutting-edge insights, expert guidance, and creative vision to help you become a disruptor, not a bystander. From emerging technology to AI to storytelling and speculative design, gain the knowledge and skills to shape tomorrow's opportunities. Embrace innovation, foresee challenges, and chart your path in the era of disruption. Join us now and unlock your potential to lead and innovate in a dynamic digital landscape.
- Subjects:
- Computing
- Keywords:
- Information technology Technology Artificial intelligence
- Resource Type:
- MOOC
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Video
Humans have long tried to make artificial versions of themselves. It is now well established that we attribute human-like states to artificial others. However, the effect of interacting with artificial minds and bodies on the human sense of self and self-identity is less understood. In this talk I will present theoretical and empirical work looking at embodied joint agency in human/ human versus human/ robotic and virtual agents. Specifically, I will outline the key role of the human embodiment and sense of self in establishing joint agency with artificial others. I will discuss key implications of these claims on recent efforts to design autonomous and interactive artificial others. I will introduce the notion of ‘hybrid agency’ to describe these new, technologically mediated ways to embody and control in tandem human and artificial minds and bodies in real and virtual environments.
Event date: 7/2/2024
Speaker: Prof. Anna CIAUNICA (University of Lisbon)
- Subjects:
- Technology
- Keywords:
- Technology -- Social aspects Human-computer interaction -- Psychological aspects Artificial intelligence
- Resource Type:
- Video
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PDF Video Website
Creativity is important in nearly every facet of life. Advances in neuro-science, computing and psychology, along with developments in other domains and cross-disciplinary areas have resulted in ever increasing understanding of creativity. This module will explore some advanced approaches to creativity such as the use of analogy and metaphor, various thinking styles and the role of artificial intelligence. A framework called the creativity diamond is used to guide the selection of approach to creativity relevant to your project or activity.
- Keywords:
- Creative ability Analogy Creative thinking Metaphor Artificial intelligence
- Resource Type:
- PDF, Video, and Website
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Video
Prof. Alex MIHAILIDIS, Associate Vice President of International Partnerships at the University of Toronto delivered the 19th PAIR Distinguished Lecture titled “The Future of Elder Care: Integrating Large Language Models” on 26 April 2024. The lecture attracted about 100 participants to join in person and captivated an online viewing audience of over 14,100 from different countries and regions to watch the live broadcast on multiple social media platforms, including Bilibili, WeChat, Weibo, YouTube, etc.
The lecture commenced with a welcome speech and speaker introduction by Prof. ZHENG Yongping, Director of the Research Institute for Smart Ageing (RISA), followed by an engaging presentation by Prof. Mihailidis. The content materials used in Prof. Mihailidis’s presentation were generated by ChatGPT, while he added the narrative.
In his presentation, Prof. Mihailidis first played several videos created by artificial intelligence (AI) to introduce what LLM is, how it can support elderly care services, some drawbacks of using LLM, and its future development. He supplemented that LLMs are advanced AI systems capable of understanding and generating human-like texts, as well as visual outputs and models that can respond to or interact with users. Next, Prof. Mihailidis outlined the specific benefits of using LLMs in elderly care, including the support tools and resources they offer to caregivers. He then delved into the ethical considerations and challenges in LLM design, such as privacy concerns, the risk of over-dependence on technology, and the barriers to technology adoption by older adults and their caregivers. To conclude, Prof. Mihailidis emphasised the role of empathetic and emotionally-intuitive AI in enhancing the quality of life for the elderly and supporting the caregiving ecosystem.
Following the presentation was a lively and insightful question-and-answer session moderated by Ir Prof. Zheng. The audience had a fruitful discussion with Prof. Mihailidis. A souvenir was presented by Prof. CHEN Qingyan, Director of PAIR, to thank Prof. Mihailidis for his excellent presentation and support to PAIR.
Event date: 26/04/2024
Speaker: Prof. Alex MIHAILIDIS (University of Toronto)
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Social Work and Human Services and Computing
- Keywords:
- Older people -- Care Natural language generation (Computer science) Artificial intelligence Technological innovations
- Resource Type:
- Video
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Others
OER4AI features a collection of public resources on AI, with categorization of different AI topics. With this OER portal, teachers can use its teaching materials, while students can access it and attempt its exercises. We aim at:
• Providing materials for students to gain hands-on experience;
• Collecting the public resources on AI;
• Giving teachers access to this website through PolyU OER Portal.
- Subjects:
- Computing
- Keywords:
- Machine learning Machine learning -- Study teaching Artificial intelligence Artificial intelligence -- Study teaching
- Resource Type:
- Others
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Video
Interested in harnessing the power of Generative AI (GenAI) for your studies? Join us in exploring the GenAI platform, its functionality and usage policies in our upcoming workshop. Learn about how GenAI can enhance your learning experience and how to employ it in your studies while maintaining data privacy and security. We'll introduce you to 'prompts engineering' and emphasise the importance of academic integrity in the context of AI technology usage. Come and join this workshop co-organised by EDC and ITS.
Event Date: 27/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
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Video
Curious about integrating Generative AI (GenAI) into your teaching methodologies? Embark on a journey with EDC and ITS in a comprehensive workshop introducing the innovative GenAI platform. This session will guide you through the platform's operations, explaining its usage policies. During the workshop, we'll briefly discuss the need for redesigning our assessment strategies in sync with this advanced tool to optimise learning outcomes effectively. Even more importantly, we will discuss data security and privacy concerns surrounding GenAI usage. This workshop offers an unrivalled opportunity to expand your understanding and proficiency in using AI in an educational context. If you're prepared to explore the cutting edge of education technology, then this is the ideal workshop for you.
Event Date: 20/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
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Video
Come hear three very different examples of assessment design that fully expect students to consult GenAI. They aim to deepen learning experiences by requiring students to produce multimodal submissions, revisit particular key points discussed in class, and demonstrate their understanding via hands-on quizzes and lab notebooks. When the assessment focus changes, the assessment criteria may change accordingly, and this will be included in the workshop.
Event Date: 30/8/2023
Facilitator: Chen, Julia (EDC)
Speaker(s): Chu, Rodney (APSS), Chan, Dick (EDC), Cheung, Gary (ABCT), Robbins, Jane (ELC)