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AI ethics encompasses the moral principles guiding the development and deployment of artificial intelligence technologies. It addresses issues such as fairness, accountability, transparency, and the potential impact of AI on society. This includes ensuring that AI systems do not perpetuate biases, respect user privacy, and operate transparently, allowing for scrutiny and understanding of their decision-making processes.

Data security, on the other hand, focuses on protecting personal and sensitive information from unauthorized access, breaches, and cyber threats. It plays a crucial role in AI ethics, as the collection and use of data are fundamental for training AI models. Organizations must implement robust security measures and comply with legal standards to safeguard data, thereby building trust with users and ensuring ethical practices in AI development.

Together, AI ethics and data security guide the responsible use of technology, aiming to prevent misuse and protect individuals while harnessing the benefits of artificial intelligence.