HCAI Academics
Academics — Human-Centered AI Certificate
9 Units
Students complete a total of three courses, two of which are mandatory and one is chosen from two elective course options. Nine total units are required to complete the Human-Centered AI Certificate program.
Mandatory Courses
ISDA 080 Introduction to Human-Centered Artificial Intelligence
The course will provide an interdisciplinary introduction to the foundational AI concepts, the qualities and use cases of human-centered artificial intelligence (HCAI) applications, and their potential impacts on culture and society in various sectors, including education, business, and medicine. (3 units)
ISDA 081 Ethics of Artificial Intelligence
The course provides a comprehensive introduction to the ethics of artificial intelligence based in established methods of applied ethics. Topics include: AI ethics frameworks; algorithmic bias and due process, AI and transparency, accountability; explainable AI (XAI) and records, automation and knowledge work (including information professions); AI and data privacy; legal liability and whistleblowing, generative AI and intellectual property; anthropomorphic AI; AI Governance and global issues. (3 units)
Select Either 180 or 181
ISDA 180 resposible human artificial intelligence interaction
This course covers the emerging field of responsible human-AI Interaction (HAII), which seeks to evaluate, design, and create AI systems that are user-centered, ethical, transparent, and beneficial for humans. Students will gain theoretical knowledge and practical experience in the fundamental aspects of human perception, cognition, and learning related to the design, implementation, and evaluation of AI interfaces. (3 units)
Note: Students are permitted to enroll in ISDA 180 or ISDA 130 for course credit; students are excluded from enrolling in both courses for course credit.
ISDA 181 Artificial Intelligence and Knowledge Management
This class examines artificial intelligence through the human-centric framework of knowledge management. Knowledge management (KM) is a technology-based business strategy that seeks to maximize the value of human capital in the form of knowledge. The rise of artificial intelligence and automation presents opportunities and challenges for knowledge management strategies. In this class, we will explore how AI is being integrated into KM systems and how organizations can leverage artificial intelligence to support knowledge intensive processes and activities. We will also consider how KM practices can serve as a foundation for enterprise AI implementations. Finally, the class will explore future directions for KM and AI in the knowledge economy. (3 units)