most citedCasual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness

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

collaborators

1 paper

cs.CV2022★ 4 cited

Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness

Caner Hazirbas, Yejin Bang, Tiezheng Yu +9

Developing robust and fair AI systems require datasets with comprehensive set of labels that can help ensure the validity and legitimacy of relevant measurements. Recent efforts, t…