Course Syllabus
Schedule at a glance
Class Structure, Presentations, and Assignments
Slides, Recordings, and Handouts
CSE 291Tue/Thu 3pm-4.20pm |
Towards Human-Centered AIProf. Nadir Weibel, weibel@ucsd.edu |
Course Syllabus |
Synopsis
Artificial Intelligence permeates the fabric of human society and its ability to generate data-driven insights and recommendations has potential benefits at an unprecedented scale, particularly for underserved and marginalized communities. However, together with this promise, AI brings new risks and presents a real danger to deepen existing equalities, reinforce injustices, and create deeper disconnects within societies. Many of the current limitations and risks of AI stem from a growing disconnect between the technology-centric approach to the creation of AI technologies and its inextricable embedding into complex socio-cultural contexts. This course will look at AI through a “human-first” approach: the creation of AI systems, where the human perspective and needs drive the technological innovations, throughout all stages of the systems’ design (data collection, learning models, inference strategies, interaction paradigms, validation, deployment, evaluation, and maintenance).
Goals
By the end of the quarter students will have:
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- Learned and embraced the human-centered design and design thinking methodology, and how to apply them to data science
- Understood how to integrate humans as active participants and drivers in learning and operation of interactive intelligent systems
- Understood the challenges of human-centered research in data science (field work and data collection in the field, integration of AI into existing workflows, etc.) and its implications for machine learning
- Learned new methods for critiquing intelligent systems and evaluating them in their socio-technical contexts
- Helped design and create a curriculum for Human-Centered AI to educate the next generation of data scientists.
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Readings
Weekly Assignments
Every week (starting in week 2) students will give a presentation on certain learning concepts and create a prototype engagement for the same. Detailed information and concept assignments are described on the following page: Class Structure, Presentations, and Assignments.
Teams
The presentations and assignments will be done in teams of 2. Students will form teams by the start of week 2.
In order to form a team students should join one of the predefined teams that is available under the People section, linked on the left-hand menu.
Schedule at a Glance
Course Summary:
Date | Details | Due |
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