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You can boost inclusivity in software engineering education simply by name-dropping diverse pioneers during lectures, without sacrificing technical depth.
LLMs' apparent competence masks a reliance on stereotype-consistent cues, leading to unreliable and unfair behavior across intersectional settings, especially when stereotype alignment reinforces accuracy.
Forget standalone ethics modules – embedding empathy directly into core software engineering tasks is key to building responsible AI.