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...
Researchers:
Ken Holstein, Anna Kawakami, Frederic Gmeiner, Luke Guerdan, Haiyi Zhu, Nikolas Martelaro, Steven Wu
Ken Holstein, Anna Kawakami, Frederic Gmeiner, Luke Guerdan, Haiyi Zhu, Nikolas Martelaro, Steven Wu
Research Areas:
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
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
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...
Research Areas:
Artificial Intelligence (AI), Fairness, Accountability, Transparency, and Ethics (FATE), Human-Centered AI, Societal Problems
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...
Researchers:
Haiyi Zhu
Haiyi Zhu