In the continuously expanding frontier of AI, few innovations capture our collective imagination quite like Generative Adversarial Networks (GANs). Known for their remarkable ability to create art, these networks are also reshaping the paradigms of data synthesis and AI training. We'll demystify the intricate mechanics of GANs, offering insights that transcend their well-publicized artistic feats.

By attending this talk, you'll gain a deeper appreciation for GANs as they meticulously craft lifelike scenarios. Beyond mere visual spectacles, these are indispensable instruments that train more resilient AI models and spotlight key system vulnerabilities. As we scale these technologies to grapple with vast datasets, we'll discuss the groundbreaking shifts they instigate across industries and the new challenges they introduce.

Yet, it's impossible to discuss GANs without confronting their darker potential. Their prowess in creating and amplifying misinformation can be weaponized, with the potential to interfere in democratic processes, including elections. By generating persuasive fake content, they could destabilize societal norms and trust. We'll delve into this double-edged sword, navigating the ethical dilemmas of GAN-produced content, its implications on global stability, and its capacity to shape perceptions surreptitiously.

For AI practitioners and tech enthusiasts, it's paramount to discern the duality of GANs: their promise and their peril. You'll leave with a nuanced understanding of both the amazing inner workings of GAN and understand their amazing powers which can be used for good or evil.