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AI algorithms are not immune to biases. Traditionally, non-experts havelittle control in uncovering potential social bias (e.g., gender bias) in thealgorithms that may impact their lives. We present a preliminary design for aninteractive visualization tool CEB to reveal biases in a commonly used AImethod, Neural Networks (NN). CEB combines counterfactual examples andabstraction of an NN decision process to empower non-experts to detect bias.This paper presents the design of CEB and initial findings of an expert panel(n=6) with AI, HCI, and Social science experts.

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples