Explainable AI is important to build trustworthy and understandable systems. To aid understanding, explanations need to be relatable, but current techniques remain overly technical with obscure information. Drawing from the …
Just as AI performance degrades with data corruptions, we found that so does explanation faithfulness. For example, blurring an image can provide privacy, but this leads to heatmap explanations becoming …
Previously, we improved creativity by automatically directing the crowd with diverse prompts Directed Diversity (Cox et al., CHI’21). Here, we further improve creativity by providing real-time feedback on the ideations. …