The world of artificial intelligence (AI) is rapidly evolving, and with it, the way humans interact with machines. One of the most significant developments in recent years has been the emergence of adversarial learning, a technique that allows AI systems to learn from their mistakes and improve their performance over time. This has the potential to revolutionize the way we interact with machines, but it also raises important questions about the future of human-machine interaction.
Adversarial learning is a type of machine learning that involves training an AI system to recognize and respond to adversarial examples.