Abstract
Generative AI, which encompasses a range of technologies such as generative adversarial networks (GANs), language models, and image generators, has shown remarkable progress in recent years. These technologies have the potential to revolutionize various fields, from art and entertainment to healthcare and education. However, along with these advancements come ethical considerations that must be carefully addressed. This research paper examines the ethical challenges posed by generative AI, including issues related to bias, privacy, misinformation, and intellectual property. It also discusses strategies for mitigating these risks and fostering the responsible development and deployment of generative AI technologies.
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