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Six key "bias smells" can help practitioners recognize and mitigate fairness debt in AI software development before it leads to societal harm.
Software engineers are increasingly dependent on LLMs, risking overreliance that could undermine traditional practices like peer consultation and documentation.
Many software engineering studies rely on fewer than 12 interviews, raising questions about the rigor of qualitative research in the field.
Forget standalone ethics modules – embedding empathy directly into core software engineering tasks is key to building responsible AI.
Software engineering students are most likely to misuse LLMs on programming assignments and documentation, especially when they feel squeezed for time or lack clear guidance.
