Navigating Privacy Challenges in Machine Learning: Balancing Innovation and Data Protection
Introduction In the rapidly evolving landscape of technology, machine learning (ML) has emerged as a transformative force, revolutionizing industries and improving various aspects of our daily lives. However, as ML algorithms become more sophisticated, concerns about privacy and data protection have grown significantly. Navigating privacy challenges in ML is crucial for striking a delicate balance […]