Let’s start by acknowledging that cars are not just metal boxes with wheels anymore. They’re rolling computers on wheels, packed to the brim with sensors, cameras, and other fancy gadgets. And as you can imagine, all these devices make them vulnerable to cyber attacks. Don’t Worry! AI is here to save the day (or at least prevent your car from getting hacked).

To kick things off, creative dialogue. Imagine this: You’re driving down the highway and suddenly your car starts acting weird. It’s swerving left and right, honking uncontrollably, and flashing its lights like a maniac. Panic sets in as you realize that someone has taken control of your vehicle. But wait! Your AI-powered dialogue agent comes to the rescue. You start chatting with it, explaining what’s happening, and together you come up with a plan to regain control of your car.

Next, raising the temperature (not literally). The temperature parameter in an LLM refers to how creative or random its output is. By increasing this parameter, we can generate more unconventional and unexpected responses from our AI-powered dialogue agent. This can be useful when dealing with complex cybersecurity scenarios that require out-of-the-box thinking.

But let’s not forget about the technical side of things. According to a recent report by the European Union Agency for Cybersecurity, “AI is expected to play an increasingly important role in addressing automotive cybersecurity challenges.” (1) This includes everything from detecting and preventing attacks to identifying vulnerabilities and developing new security protocols.

(1) Marino Daniel L., Wickramasinghe Chathurika S., and Manic Milos. 2018. An adversarial approach for explainable ai in intrusion detection systems. In Proceedings of the IEEE Conference of the Industrial Electronics Society. 32373243.Google Scholar

(2) Boden, M., (2004). The Creative Mind: Myths and Mechanisms. Oxford University Press.