Final answer:
Resilient AI refers to the ability of AI systems to withstand challenges and adapt. It ensures AI functions effectively and accurately even in the presence of uncertainties or errors.
Step-by-step explanation:
Resilient AI refers to the ability of artificial intelligence systems to withstand and adapt to challenges, changes, and disruptions. It involves creating AI systems that can continue to function effectively and accurately even in the presence of uncertainties, errors, or adversarial attacks.
For example, in the context of self-driving cars, resilient AI would enable the car's AI system to respond appropriately and safely to unexpected road conditions, sudden obstacles, or sensor failures. Resilient AI can be achieved through techniques such as redundancy, fault tolerance, robust training, and continuous learning.
By developing resilient AI systems, we can enhance the reliability, safety, and trustworthiness of AI technology, reducing the potential risks and negative impacts that might arise from AI's unpredictable behavior or vulnerabilities.