Tag algorithmic fairness

Unlocking Fairness in AI: Understanding Gradient Reversal for Neural Networks

In the rapidly evolving field of artificial intelligence, one critical concern has become increasingly pronounced: the presence of bias in machine learning models. This issue is particularly evident in neural networks used for tasks ranging from hiring to lending decisions…. Continue Reading →

Finding Small Hitting Sets in Infinite Range Spaces of Bounded VC-dimension: A Breakthrough in Algorithmic Efficiency

As we explore the cutting-edge realms of algorithmic research in 2023, a groundbreaking study emerges in the search for small hitting sets within infinite range spaces of bounded VC-dimension. Led by Khaled Elbassioni, the research delves into the intricate world… Continue Reading →

Discovering Unwarranted Associations in Data-Driven Applications

In a world where our personal data is collected and analyzed by numerous companies, the issue of unfair treatments arising from irresponsible data usage has become increasingly concerning. Decision-making entities need to be held accountable for any unfair or discriminatory… Continue Reading →

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