An automated linting and repair tool finds 3.46% of developer prompts biased, 10.75% injection-vulnerable, and improves a fraction of suboptimal prompts.
Identifying the Prevalence of Gender Biases among the Computing Organizations
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We have designed an online survey to understand the status quo of four dimensions of gender biases among the contemporary computing organizations. Our preliminary results found almost one-third of the respondents have reported first-hand experiences of encountering gender biases at their jobs.
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An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
An automated linting and repair tool finds 3.46% of developer prompts biased, 10.75% injection-vulnerable, and improves a fraction of suboptimal prompts.