Algorithmic bias & fairness
Systems producing unfair or discriminatory outcomes across groups.
4 papers carry this themeView in grid →
In these papers
- 01Educating Artificial Intelligence following the Child Learning Development Trajectories2024Confronts gender/disability bias from biased datasets.
- 02How Designers Find Their Ways in Shaping Algorithmic SystemsJeremie Poiroux · 2022Concerns of unequal treatment of users.
- 03Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and ValuesAlex Kale · 2022Edits models to reflect human knowledge and values, avoiding harms.
- 04Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic managementMin Kyung Lee · 2013Centers perceived fairness of algorithmic decisions.