Data ethics in AI development encompasses principles and guidelines that govern the responsible use of data in artificial intelligence. It addresses issues such as privacy, fairness, accountability, and transparency in data handling. This field ensures that AI systems do not perpetuate biases, invade individual privacy, or lead to harmful consequences. By emphasizing ethical considerations, developers can create AI technologies that respect human rights and societal values, fostering trust among users. Ultimately, data ethics aims to create a framework that aligns AI advancements with public welfare.