📌 What autonomous vehicles tell us about artificial intelligence risks

AI case studies: #2024-05 | How AI is transforming the world?

Howdy everyone. This is Yael, your … safety driver. Passenger?… speaking.

Autonomous vehicles have emerged as a promising technology for enhancing road safety and mobility.

Building AVs requires advanced technologies like sensors, computing power, HD maps, and vehicle-to-everything communication that help carefully address the various critical aspects, such as software and system requirements.

There's a growing need for safety-aware approaches for AVs, focusing on software and system requirements. While some vehicles have advanced driver assistance systems, no fully self-driving cars are available for consumers to purchase.

Many industries stand to be disrupted by AVs, and significant challenges remain around safety, public acceptance, jobs, and appropriate regulations.

The different levels of automation according to SAE's standard, from no automation to full automation, tell us three main things about artificial intelligence risks:

1. What are the existing methods based on software and system design that can analyze them according to their algorithms, parameters, evaluation criteria, and challenges?

2. Where do we stand in terms of state-of-the-art artificial intelligence-based techniques for AVs?

3. What is the highest level of automation currently available in vehicles, where can they be found, and why is there? Else way said, do we need so much automation?

4. What are some of the critical sensor technologies discussed that autonomous vehicles rely on? Can we fully trust them?

5. What are some of the potential industries that may be disrupted by autonomous vehicles?

Identifying the current gaps and future directions for AV safety research is necessary to understand what our needs are in terms of:

⇒ Safety

AI is used to simulate real-world conditions to safety-test autonomous vehicles. Stanford researchers surveyed the algorithms and said they are good, but work remains. 

⇒ Mobility

Artificial intelligence can be vital in enabling technology to master the transition to highly individualized, environmentally friendly, and autonomous mobility systems. Their driverless capability enables rising mobility systems that were not possible before.

⇒ Industry extensions

There are many players, but only some actual commercialized products exist. But when it arrives, the technology has platform-level potential. It will disrupt plenty of traditional industries in a big way.

Please share your thought, what do you think? Does that makes sense?

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Explore more

• What self-driving cars tell us about ai risks on IEEE Spectrum
  

• MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars:

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• How do you think artificial intelligence is transforming the world?
  

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📌 AI case studies

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