Ronnie de Souza Santos

Combining human collaboration with AI support can significantly elevate the clarity and quality of software requirements artifacts.

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.