👉 Opponents in computing, particularly in the context of artificial intelligence and machine learning, refer to entities or systems that challenge or compete against a given AI model's capabilities. These opponents can be adversarial examples, which are inputs specifically crafted to cause the AI to make incorrect predictions or decisions; they can also be other AI models with superior performance, designed to outperform the target model in various tasks; or even adversarial attacks that exploit vulnerabilities in the AI's architecture or training process. Additionally, there are ethical and security opponents that focus on ensuring AI systems operate responsibly, transparently, and securely, countering potential misuse or unintended consequences.
