This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented with guidelines for either trustworthy or reliable AI. Participants then evaluated three vignette scenarios and completed a modified version of the Technology Acceptance Model, which included variables such as perceived ease of use, human-like trust, and overall attitude. Although labeling AI as "trustworthy" did not significantly influence judgments on specific scenarios, it increased perceived ease of use and human-like trust, particularly benevolence. This suggests a positive impact on usability and an anthropomorphic effect on user perceptions. The study provides insights into how specific labels can influence attitudes toward AI technology.

We hear that machines are capable of many things we humans are. We know that they are even capable of more than us in some areas. But what about the fields that are harder for them or even impossible? Some AIs create music, write articles and even paint for us now. All of these are pieces that require some kind of emotional attachment to them, and many of them are considered art when created by humans.

In the coming years, there are few parts of daily life that artificial intelligence won't touch in one way or another, and the automotive sector is no exception. When it comes to vehicles, however, implementing AI will place enormous demands on data centre technology. Christian Ott, director of Solution Engineering at NetApp, explores how storage and compute can keep pace with the challenge. Usually, when you mention the idea of applying AI in the automotive sector to someone, their first thought is self-driving cars. In the current wave of research and development in autonomous vehicles (AVs), it's estimated that the leading thirty companies have invested $16 billion into building a car that can take itself from A to B, and, as we all know, that technology hasn't arrived just yet.

There was a moment for me – I was still in university, sitting in a Corporate Finance class, and I learned that the largest initial public offering (IPO) in history had occurred: NetScape. For me, this was when the Internet arrived. So, nearly 25 years after the Internet revolution began, how are things different for the auto dealership industry? In my opinion, the largest difference is how consumers research cars. When I first entered the digital car market, it was to start an online car listing site.

Affectiva this week announced its Automotive AI platform for monitoring humans. If the idea of a robot watching you while you drive bothers you, consider that most accidents are caused by distracted drivers. An AI that knows whether you're paying attention or not could potentially save as many lives as one that does the driving for us. Even with driverless cars on the roads now, it'll take at least a decade for the kind of massive fleet rollouts the experts predict. For better or worse, people are going to remain behind the wheels of at least some cars for a long time to come.

With almost every automaker on the planet launching predictions about the arrival date of driverless vehicles, we here at Arcbees are willing to bet that you've given at least a little thought to what that utopian future would be like napping, watching a movie, or getting work done in the backseat while your car deals with traffic. And how exciting would it be never to have to parallel park again? Ford & Argo AI claim they'll be "fully autonomous" by 2021 Hyundai, which is prioritizing affordability, has announced its goals for autonomous freeway driving by 2020 and the more complex navigation of urban driving by 2030. Elon Musk of Tesla, on the other hand, is characteristically audacious and ambitious, already offering many driver-assist AI features and promising full automation, via a tweet, in "3 months maybe, 6 months definitely" -- meaning by the end of 2017. When it comes to AI-driven autonomous vehicles, however, it's important to understand the terminology.