🔬 Research Summary by Kyrie Zhixuan Zhou and Madelyn Rose Sanfilippo. Kyrie Zhixuan Zhou is a PhD student at the University of Illinois at Urbana-Champaign, aiming to understand, design, and govern ICT/AI … [Read more...] about Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Ernie
Bias Mitigation
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
🔬 Research Summary by Francois Hu & Philipp Ratz. François Hu is a postdoctoral researcher in statistical learning at UdeM in Montreal. Philipp Ratz is a PhD student at UQAM in Montreal. [Original … [Read more...] about A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Bias Propagation in Federated Learning
🔬 Research Summary by Hongyan Chang, a sixth-year Ph.D. student at the National University of Singapore, focuses on algorithmic fairness and privacy, particularly their intersection, and is also invested in advancing … [Read more...] about Bias Propagation in Federated Learning
Bias and Fairness in Large Language Models: A Survey
🔬 Research Summary by Isabel O. Gallegos, a Ph.D. student in Computer Science at Stanford University, researching algorithmic fairness to interrogate the role of artificial intelligence in equitable … [Read more...] about Bias and Fairness in Large Language Models: A Survey
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
🔬 Research Summary by Anna Leschanowsky, a research associate at Fraunhofer IIS in Germany working at the intersection of voice technology, human-machine interaction and privacy. [Original paper by Casandra … [Read more...] about Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research