We have several projects that investigate the societal implications of AI and design AI to be fairer, participatory, and a tool for social good. We are an interdisciplinary team; we draw theories and methods from human-computer interaction, computer science, social sciences, and design. Our current projects fall under the following broad themes:
-How do we allow the public to understand and participate in AI design for their communities and workplaces? We explore this in the context of resource allocation.
-How do we leverage social science theories to help people make better decisions using AI? We explore this in the context of misinformation and other predictive decisions supported by machine learning.
-How do we create AI-assisted future workplaces to be more human centered? We explore this in the context of algorithmic management.
-How do we systematically understand how people perceive AI? We explore this in the context of workplaces.
We are always looking for talented students with diverse backgrounds. Depending on the needs of our ongoing projects and current team members, priority will be given to students with strong skills in experimental design, survey design, data analytics, full-stack web development or visualization/visual design. Interests in the future of work, social justice, community engagement, misinformation and knowledge on the relevant literature are a plus.
Research can be arranged for credits or pay. Paid positions are limited.
If you are interested, please feel out this form and upload your resume and unofficial transcript.
If you have any questions, send an email to
minkyung.lee@austin.utexas.edu and include [Summer/Fall 2020-RA] in the email title.