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The rapid advancement of Artificial Intelligence (AI) marks a transformative era, reshaping industries, societies, and human experiences. As AI systems become increasingly sophisticated, capable of complex decision-making, creative generation, and autonomous action, a critical issue emerges to ensure this powerful technology remains firmly centered on human well-being, values, and sustainable development. This course addresses a Human-Centered AI approach seeking to augment human capabilities, uphold ethical principles, foster equitable outcomes, and preserve the essential aspects of human existence and interaction.

Drawing upon insights from the seven distinguished speakers, this lecture series will explore the journey from human learning to machine intelligence, the necessity of sustainable AI practices, the potential of agentic AI for co-creation, the practical challenges and applications in business, the profound impact on human life and relationships, the role of AI in fostering creativity and learning, and the fundamental challenge of navigating this new technological landscape.

A Human-Centered AI is not a passive outcome but an active pursuit. It requires intentional design, ethical consideration, and ongoing evaluation. By prioritizing human values, fostering transparency and trust, ensuring sustainability, and recognizing AI's profound impact on human existence and interaction, we can harness AI's transformative power to create a future that is not only technologically advanced but also deeply humane and equitable. The journey from human learning to machine intelligence must ultimately lead back to a deeper understanding and enhancement of the human condition.

Lecture Series Objective

1. Understand the core principles and definitions of Human-Centered AI.
2. Identify strategies for designing and deploying AI systems, prioritizing human values and sustainability.
3. Explore agentic AI and human-machine co-creation for workspace evolution and task automation.
4. Evaluate the applications and challenges of adopting AI in business contexts.
5. Analyze the impact of AI on human cognition, knowledge, existence, and interpersonal interactions.
6. Discuss how AI and multimodal learning can foster creativity and self-directed learning.
7. Develop critical thinking skills to address societal and philosophical challenges posed by AI.
8. Examine ethical dilemmas, biases, and governance challenges in AI development and application.

Learning Outcomes

1. Propose strategies for designing and implementing Human-Centered AI systems that prioritize human well-being and values.
2. Define and explain the core concepts of Human-Centered AI and its relationship with sustainable practices.
3. Explore the potential of agentic AI for human-machine co-creation and the evolution of the workspace.
4. Assess AI applications, challenges, and adoption strategies in the business sector.
5. Discuss the philosophical implications of AI on human existence, identity, and interpersonal interactions.
6. Identify how AI can be blended with multimodal learning to enhance creativity and self-directed learning.
7. Develop a critical understanding of the challenges posed by AI and approaches to navigate them responsibly.
8. Analyze the technical, ethical, social, and environmental impacts of AI technologies.

 
Lecture Topics & Schedule
Each session is 2 hours and delivered via Zoom. All times are Taiwan Standard Time (GMT+8).

Date	Lecturer	Topic
Jun 24 (Tue)	Prof. Richard Tzong-Han Tsai (CSIE)	From Human Learning to Machine Intelligence: Cross-Disciplinary Approaches to Building Large Language Models
Jun 25 (Wed)	Prof. Stephen J. H. Yang (CSIE)	Human-centered Sustainable AI
Jun 26 (Thu)	Prof. Chia-Hui Chang (CSIE)	Agentic AI for Human-Machine Co-Creation
Jun 30 (Mon)	Prof. Ping-Yu Hsu (Business Administration)	The Applications and Challenges of adopting AI in Business
Jul 1 (Tue)	Prof. Yun-Ping Sun (Philosophy)	The impact of AI on human existence and interpersonal interactions
Jul 2 (Wed)	Asst. Prof. Chia-Kai Chang (General Education)	Blending Multimodal Learning and AI to Inspire Creativity and Self-Directed Learning
Jul 3 (Thu)	Prof. Mu-Chun Su (CSIE)	How to face the challenges of artificial intelligence

Eligibility
The lecture series is open exclusively to registered students of UAiTED member universities. Students from all major are welcome, and no prior experience with AI is required. 

How to Register

1. Applicants must be enrolled in a UAiTED partner university at the time of registration.
2. Complete the online registration form via the UAiTED official website no later than June 16, 2025.
3. Registration Form Link: https://forms.gle/bZdFdg7tRdJSEiLx6

Attendance Requirement — QR Code Sign-In & Sign-Out
To receive a Certificate of Completion, participants must:

• Attend all sessions in full.
• Scan the official QR code at both the beginning and end of each session
• Failure to complete QR check-in and check-out will result in ineligibility for certification.

Certificate of Completion
Students who meet the attendance requirements will receive a UAiTED Certificate of Completion. (Please note that this certificate is not currently recognized for academic credit by any UAiTED member university).

Important Note

• All sessions will be conducted live via Zoom. Please ensure timely attendance.
• Maximum capacity is 500 participants; registration will close once this limit is reached.
• Applicants will be selected based on the information provided during registration. Admission results will be announced on June 20, 2025.
• Full attendance and proper QR code sign-in/out are mandatory for certificate eligibility.
• Certificates will be issued after the conclusion of the lecture series.
• For inquiries, please contact: uaited2019@gmail.com
• For more detailed information about the learning objectives and the lecturer, please click here.