【Talk】
📍 AI時代中的溝通轉型與賦能 Empowering Communication in the Age of AI

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在這個由人工智慧與新興科技快速發展所定義的時代，傳播與媒體研究在塑造具備倫理性、包容性與社會責任感的數位未來中扮演關鍵角色。本場講座中，Dr. Lu Tang 將分享她關於人工智慧、健康與社會正義交會點的研究成果，帶領我們思考科技發展背後的價值選擇與社會意涵，深入探討傳播研究如何回應當代科技挑戰，並促進更公平與永續的數位世界。
In an era defined by rapid advancements in artificial intelligence and emerging technologies, communication and media scholarship play a crucial role in shaping ethical, inclusive, and socially responsible digital futures. In this talk, Dr. Lu Tang will share her research at the intersection of AI, health, and social justice.

💡 Why Attend?
Explore how avatars shape our perceptions, build trust, and influence us—through the lens of psychology and communication.
Perfect for anyone interested in branding, digital interaction, or immersive storytelling.

📅 Date & Time:
2025.05.14 (Wednesday)
12:10 PM – 13:30 PM

📍 Location:
政治大學傳播學院三樓李瞻講堂

👨‍🏫 Speaker: Lu Tang
Professor, Department of Communication & Journalism, Texas A&M University
Director, Data Justice Lab, Texas A&M Institute of Data Science

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【Workshop】

Creating your own chatbot : An Introduction to OpenAI Tools 打造屬於自己的聊天機器人：OpenAI 工具入門

 Why Attend?
This hands-on workshop is perfect for MA students who are new to coding and interested in exploring the world of AI. You’ll learn the fundamentals of building a chatbot using OpenAI's powerful language models. The session will guide participants through the essential steps of setting up, customizing, and deploying a chatbot with tools like Python and Gradio. By the end, you will have your very own working chatbot prototype, ready to be refined for academic, creative, or professional purposes. The workshop also emphasizes AI literacy and encourages critical reflection on the opportunities and challenges in human-AI interaction.

 Date & Time:
 2025.05.12 (Monday)
10:00 AM –  12:00 PM

 Location:
研創大樓 1F 數位發展教室 RIIC 1F, teaching lab for E-learning (room 350112)

 Speaker: Lu Tang
Professor, Department of Communication & Journalism, Texas A&M University

Director, Data Justice Lab, Texas A&M Institute of Data Science