How can adversarial attacks pose a threat to AI models used in autonomous vehicles?
- They can cause AI models to make incorrect decisions, endangering safety.
- They can compromise the aesthetic design of vehicles.
- They can lead to vehicle system failures.
- They may result in minor passenger discomfort.
Adversarial attacks can pose a significant threat to AI models in autonomous vehicles by causing them to make incorrect decisions. These attacks manipulate input data to deceive AI models, potentially leading to safety hazards on the road.
Loading...
Related Quiz
- Which of the following approaches helps in reducing the environmental impact of training large-scale AI models?
- What is the primary ethical concern regarding data privacy in AI?
- How does the trolley problem illustrate ethical dilemmas in AI and autonomous vehicles?
- In NLP, what is the challenge of resolving "coreference"?
- How might federated learning be used to address privacy concerns in AI model training?