Keyword:fairness

Publications
Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems Satish Penmatsa and Krishna Kanth Varma Penmatsa In:Proceedings of 38th International Conference on Computers and Their Applications
Explainable Artificial Intelligence (XAI) for Trustworthy and Responsible AI Systems Dylan Stilinki EasyChair Preprint 14441
Machine Learning and Data Ethics: a Design of Integrated Framework Towards Intelligent Decision Making Payal Thakur, Navjot Singh, Shanu Khare and Karan Sarawagi EasyChair Preprint 14102
Stake-Driven Rewards and Log-Based Free Rider Detection in Federated Learning Huong Nguyen, Hong-Tri Nguyen, Lauri Loven and Susanna Pirttikangas EasyChair Preprint 13968
Ethical Considerations in Using Machine Learning for Healthcare Applications Godwin Olaoye EasyChair Preprint 13565
The Impact of Bias and Fairness Issues on the Robustness and Security of AI Systems Godwin Olaoye and Edwin Frank EasyChair Preprint 13461
Investigating the Use of Federated Learning to Enable Collaborative AI Model Training While Preserving Data Privacy in Industrial IoT Settings. Ayuns Luz and Harold Jonathan EasyChair Preprint 13279
Ethical Considerations in AI-Powered Data Governance Ayuns Luz and Harold Jonathan EasyChair Preprint 13215
Fairly Recommending with Social Attributes: a Flexible and Controllable Optimization Approach Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu and Xiangnan He EasyChair Preprint 13092
Ethical and Social Implications of Generative AI in Supply Chain Management Dylan Stilinski, Lucas Doris and Louis Frank EasyChair Preprint 13085
Ethical and Social Implications of Generative AI in Supply Chain Management Dylan Stilinski, Lucas Doris and Louis Frank EasyChair Preprint 12926
Ethical Considerations in Artificial Intelligence and Machine Learning Mr Juli EasyChair Preprint 12536
Comparison of Fairness Based Coordinated Grid Voltage Control Methods for PV Inverters Aswin Ramesh Vadavathi, Gerwin Hoogsteen and Johann Hurink EasyChair Preprint 6890
Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data Przemyslaw Grabowicz and Nicholas Perello EasyChair Preprint 6274