YPIE Scientist: Faris Saoudi

Research: Survey evaluation of AI safety features in vehicles​

Abstract:

AI safety features in vehicles, like automatic braking and lane-keeping assist, are designed to help prevent accidents and protect drivers and passengers. These technologies are becoming more common, but it is not clear how much people trust them or how they feel about their use. To understand public opinions, this study used a survey to ask people about their experiences and views on AI safety features in cars. The survey was made with Google Forms and shared via YPIE, school and social media between January-Present. It included various questions about trust in AI, concerns about safety, and past experiences with AI systems in vehicles. A total of 150 people responded. The data was analyzed using basic statistics and simple correlation tests to look for patterns in the responses. Most people (68%) stated they somewhat trust AI safety features, but only 22% stated they fully trust them. About 55% of people were worried that AI systems might fail in bad weather or unusual situations. People who had used AI safety features before were 40% more likely to trust them than those who had not (p < 0.05). There was also a weak positive correlation (r = 0.32) showing that older drivers tend to trust AI features less than younger drivers. In summary, AI safety features are seen as helpful by many people, but trust and reliability are still concerns. With this, more real world experience and better public understanding could help increase trust in these technologies.