Gender-diverse users perceive ChatGPT's gender bias differently, with non-binary/transgender participants reporting condescending and stereotypical responses, and men reporting higher trust.
Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)
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abstract
We describe the steps of developing the MDMT (Multi-Dimensional Measure of Trust), an intuitive self-report measure of perceived trustworthiness of various agents (human, robot, animal). We summarize the evidence that led to the original four-dimensional form (v1) and to the most recent five-dimensional form (v2). We examine the measure's strengths and limitations and point to further necessary validations.
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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
Gender-diverse users perceive ChatGPT's gender bias differently, with non-binary/transgender participants reporting condescending and stereotypical responses, and men reporting higher trust.