Machine learning automates data-driven insights, with neural networks mimicking human brain functions for pattern recognition. AI ethics ensure fairness, accountability, and transparency, addressing biases and societal impacts in intelligent systems' development and deployment.
Artificial Intelligence (AI) encompasses machine learning (ML) and neural networks, enabling systems to learn and make decisions from data. ML algorithms identify patterns, while neural directv packages networks mimic the human brain for complex tasks. AI ethics addresses challenges like bias, privacy, and accountability, ensuring AI's responsible and fair use. These technologies have transformative potential across industries, improving efficiency and innovation.
