Influential Women: Gayathri Pingali, Seasoned Product Leader Driving Innovation Across Healthcare Retail And Technology

MIAMI, FL, UNITED STATES, February 24, 2026 /EINPresswire.com/ -- Championing Customer-Centric Digital Transformation, ...
IEEE

Ethics In HR Machine Learning: Striking A Balance Between Efficiency and Fairness

Abstract: As organisations continue to incorporate machine learning (ML) in the enhancement of Human Resource Management (HRM), the issue of trade-off between efficiency and fairness arises. The ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Insurance Insider

Machine learning in insurance: Transforming risk management and customer experience

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
IEEE

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning

Abstract: Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide personalized ...