👉 Opponent engineering refers to the strategic manipulation of an AI system's environment or inputs by adversaries to induce unintended behaviors or vulnerabilities. This technique involves creating or exploiting weaknesses in the AI's design, training data, or interaction protocols to cause it to act in ways that deviate from its intended purpose. By understanding how an AI system responds to various inputs or adversarial examples, engineers can intentionally design or modify these systems to either enhance their robustness against attacks or exploit them for malicious purposes. This practice is crucial in fields like cybersecurity, autonomous systems, and AI development to ensure that AI technologies are secure, reliable, and resilient against adversarial manipulation.
