Studying and designing for human-AI collaborative work in real-world contexts
Across a range of real-world contexts, we are studying how AI is currently being designed and used to augment or transform worker practices. Moving beyond...
Ken Holstein, Anna Kawakami, Frederic Gmeiner, Luke Guerdan, Haiyi Zhu, Nikolas Martelaro, Steven Wu
Applied Machine Learning, Artificial Intelligence (AI), Computational Creativity, Design Research, Fairness, Accountability, Transparency, and Ethics (FATE), Future of Work, Human-Centered AI, Learning Sciences and Technologies, Societal Problems
Empowering and Enhancing Workers Through Building A Community-Centered Gig Economy
The gig economy is characterized by short-term contract work performed by independent workers who are paid in return for the "gigs" they perform. Example ...
Haiyi Zhu
Advancing Fairness in AI with Human-Algorithm Collaborations
Artificial intelligence (AI) systems are increasingly used to assist humans in making high-stakes decisions, such as online information curation, resume s...
Artificial Intelligence (AI), Fairness, Accountability, Transparency, and Ethics (FATE), Human-Centered AI, Societal Problems
Incorporating and Balancing Stakeholder Values in Algorithm Design
This project will create a general method for value-sensitive algorithm design and develop tools and techniques to help incorporate the tacit values of st...
Haiyi Zhu