[PDF][PDF] Systematic Literature Review: Explainable AI Definitions and Challenges in Education

ZMA Altukhi, S Pradhan - International Conference on …, 2024 - opus.lib.uts.edu.au
Explainable AI (XAI) seeks to transform black-box algorithmic processes into transparent
ones, enhancing trust in AI applications across various sectors such as education. This …

Bias Mitigation via Compensation: A Reinforcement Learning Perspective

N Swaminathan, D Danks - arXiv preprint arXiv:2404.19256, 2024 - arxiv.org
As AI increasingly integrates with human decision-making, we must carefully consider
interactions between the two. In particular, current approaches focus on optimizing …

Bias Mitigation via Compensation in Multi-agent Systems

N Swaminathan - 2024 - search.proquest.com
Several factors influence the effectiveness of human-AI collaborations, including inherent
human biases. Our research explores the role of a deceptive agent in enhancing the …

[PDF][PDF] MASTERARBEIT| MASTER'S THESIS

KLP Howorka - 2024 - phaidra.univie.ac.at
Fairness in recommender systems is a research problem which has gained a lot of attention
in recent years, especially with the widespread use of machine learning based …

Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making

A Gaudeula, O Arrigonia, V Charisia… - 2024 - ebooks.iospress.nl
This large-scale study assesses the impact of human oversight on countering discrimination
in AI-aided decision-making for sensitive tasks. It follows a mixed method approach …