6 results for "fairness in ai"
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…
An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to cha…
AMDXDNA Driver Preps Hardware Scheduler Time Quantum For Ryzen AI Multi-User Fairness
The AMDXDNA accelerator driver for Ryzen AI NPUs is preparing a new feature called hardware scheduler time quantum for ensuring fairness between multiple users/contexts wanting to leverage this neural…
AI prefers resumes written by itself: Self-preferencing in Algorithmic Hiring
As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio…
How can Bengal election be fair when so many genuine voters are left out, asks Shashi Panja
Trinamool Congress leader Shashi Panja questions the fairness of Bengal elections, highlighting voter disenfranchisement and political violence amid rising tensions.…
Hong Kong launches consultation on Keeta’s proposal over competition concerns
Competition Commission consults on delivery platform’s commitment to curb exclusivity and support fairness in the market.…