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最新消息 活動預告

19
11月 2026
(星期四)

人類該如何應對人工智慧? (2026 年11月19日)

相關學科
金融科技及金融分析

日期及時間
2026年11月19日 (星期四)13:00 - 13:50
費用
免費
講者
  • Mr Thomas Lee

Mr Thomas Lee

Mr Lee is a computer and project management professional who has worked in the information technology and data science industry for over 30 years under vendor environments including HP Inc., Dell, Fossil, Motorola network and GP Batteries. In the past ten years, Mr Lee focused on new product introduction, design for manufacturability, quality assurance & production risk management among manufacturing plants in China & Taiwan utilizing various data sciences tools and methodologies. Mr Lee is qualified as a Microsoft Certified Trainer in delivering Microsoft training modules based on Azure technology. He has been teaching courses related to Big Data, Cloud Computing, Machine Learning, Cyber Security and Fintech since 2020. Mr Lee is a certified Project Management Professional, PMP from Project Management Institute PMI, US from 1998 and a Certified Scrum Master since 2018. Mr Lee holds a Master of Health Science degree in Biomedical Engineering from University of Toronto, St. George Campus, Canada. He currently works on projects as an enabler for Inclusion and Accessibility utilizing the artificial intelligence technology.

查詢
2867 8331 (finedec@hkuspace.hku.hk)
相關課程
Postgraduate Diploma in FinTech and Legal Regulations Postgraduate Diploma in Financial Analytics and Algo Trading Postgraduate Diploma in Finance and Data Analytics Certificate for Module (Big Data Governance and Data Compliance) Certificate for Module (GenAI and Automation for Finance and Business) Certificate for Module (AI and ML with Business and Financial Applications) Certificate for Module (FinTech, WealthTech and Robo-advisor) Big Data and FinTech Executive Workshop Series - Applied AI and Business Analytics
更多相關課程

人工智慧:  最佳拍檔?最佳損友?

近年人工智能(AI)的發展引發廣泛爭議。一方面,像 ChatGPT(OpenAI)、Anthropic 和 Grok(xAI) 等公司領導人曾公開表示,AI 技術發展速度過快可能帶來風險,包括失控、自主決策能力增強,以及對社會和就業市場造成衝擊,因此呼籲加強監管及放慢部分高風險 AI 的發展。同時,業界亦出現有關模型訓練資料版權爭議、涉嫌使用競爭對手內容訓練模型,以及創意作品被未經授權引用等問題,令 AI 被視為潛在的「威脅者」。

另一方面,AI 也為社會帶來巨大效益。它能自動處理大量重複性工作,例如資料輸入、客服回應、文件整理及數據分析,讓人類專注於更具創造力和策略性的工作。同時,AI 能夠全天候運作,在許多情況下提供更快速、更一致及更準確的回應,提高工作效率和生產力。從這個角度來看,AI 並非人類的敵人,而是一種強大的輔助工具;關鍵不在於 AI 本身是朋友還是敵人,而在於人類如何制定規範、負責任地使用與管理這項技術。

基於上述公司層面的考量,Thomas將帶大家探討香港人工智慧應用的情況與趨勢。