State of AI in automotive report
Data company Appen has announced the release of a report that offers specific insights into how the transportation and automotive industries are leveraging artificial intelligence (AI) to improve driver and passenger experience, safety, and comfort. According to survey respondents, some of the most important benefits AI will have on automotive experience include:
- Crash prevention
- Emissions reduction
- Fewer impaired driving incidents
- Improved traffic conditions
- Customized comfort
“At Appen,” says Armughan Ahmad, CEO of Appen, “we work with companies across a number of industries to power the deployment of safe, accurate, and comprehensive AI models around the world. Our latest State of AI report indicates that AI has tremendous potential to make the automotive experience safer, more innovative, and more enjoyable than ever before.”
In addition to the benefits of AI, the company’s findings also noted optimism about the future of autonomous vehicles. While almost 80% of respondents indicated that they currently feel safe with autonomous vehicles on the road, those surveyed also indicated their confidence in a number of AI applications:
- 89% of AI practitioners indicated that they agree or strongly agree that autonomous vehicles are the future of the industry
- 87% of AI practitioners agree or strongly agree that autonomous vehicles will reduce the number of impaired driving incidents
- 82% of AI practitioners agree or strongly agree that autonomous driving will relieve traffic congestion in the future
Sujatha Sagiraju, Chief Product Officer at Appen adds, “As we look to the future of the automotive industry, we’ll see two primary themes come to the forefront: safety and experience. Those include for drivers, passengers, cyclists, pedestrians and all others sharing the road. We’re at a pivotal moment in transportation and AI is leading the charge. With high-quality and inclusive data, those futuristic concepts are right around the corner.”
The research also uncovered the importance of human oversight to ensure accurate and safe rollout of AI across the transportation space. In fact, says the company, 97% of respondents noted that human-in-the-loop evaluation is important for accurate model performance, which allows for more collaboration and oversight to improve the effectiveness of AI and machine learning models.
The research was conducted in partnership with The Harris Poll, which surveyed over 500 respondents from around the globe. For more, see “The State of AI and Machine Learning Report.”
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