most citedTowards Involving End-users in Interactive Human-in-the-loop AI Fairness

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.HC2022★ 4 cited

Towards Involving End-users in Interactive Human-in-the-loop AI Fairness

Yuri Nakao, Simone Stumpf, Subeida Ahmed +2

Ensuring fairness in artificial intelligence (AI) is important to counteract bias and discrimination in far-reaching applications. Recent work has started to investigate how humans…

cs.CV2021

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill +6

Object recognition has made great advances in the last decade, but predominately still relies on many high-quality training examples per object category. In contrast, learning new…