A Generative Adversarial Network (GAN) is a type of artificial intelligence that uses two neural networks - one generating data and the other evaluating it - to create highly realistic images, audio, or video. The generator tries to produce convincing fake content, while the discriminator attempts to distinguish between real and fake data. This competition helps GANs improve their output, making them powerful tools for creating synthetic media and enhancing data privacy, but also raising concerns about deepfakes and digital deception.