Merging AI and Blockchain isn’t a hype overdose — it’s the future of Autonomous Driving
What type of AI is better suited for autonomous driving? The glamorous one or the weakest one? How about adding blockchain into the mix?
For now, strong AI is more myth than reality. If you believe that the time of the Skynet or Terminator has come, you are mistaken. Strong AI requires solving philosophical problems of consciousness, self-identification, values, and contextual memory. It’s still a rather futuristic concept. Even the most advanced robots developed by the likes of
How will Autonomous Driving look like in the future?
Let’s imagine we’re in the year 2030. Most of the cars on the road are autonomous. They’re using networked super-weak AIs that actively exchange data with each other. And if one of the cars on the road starts driving aggressively or sends false information to neighbors the network quickly determines this car, avoids it and reduces its trust level in the system: demonstrating behavior similar to fish bait ball survival.
The road infrastructure (traffic lights, bumpers, markings) will all have rudimentary intelligence as well. This type of infrastructure collects data and informs the AI in the cars about road conditions. As a result, the whole traffic can move in sync. Such cars will be able to drive faster than they do today by calculating the safest distance and trajectory based on the data collected. By introduction of economic incentives for data generation and validation, such as blockchain, they can create space for entirely new players: autonomous driving safety traffic providers.
Currently, at a speed of 60 miles per hour, the safe driving distance between cars is 500 feet front-to-back and 10 feet on the sides. With an AI decision-making frequency of 10 times per second, the safe distance between cars is reduced to just 20 feet front-to-back and 4 inches on the sides. This condensed traffic pattern quadruples the capacity of the existing road infrastructure and nobody waits at the traffic lights or in jams.
The economic effect of the full-scale autonomous infrastructure is difficult to imagine. According to the recent numbers, the US would need to spend $2 trillion over the next 10 years to repair and construct new roads. Taking the new roads out of the equation saves billions and lets the government spend more on other projects, like new schools and hospitals.
US infrastructure expenses over the next 10 years
All in all, the role of AI in autonomous driving is growing significantly. And with the introduction of the super-weak AI systems, your daily commute will become faster, stress-free and safe. As self-driving car technology improves, AI becomes a catalyst to creating an all-inclusive driving experience.
Indeed, its potential reach is far beyond the automotive industry. As people start to trust AI with their everyday lives, we will find even more valuable uses for it. This will spur the development of all kinds of AI-based technologies with the autonomous driving being at the top.
Merging AI and Blockchain isn’t a hype overdose — it’s the future of Autonomous Driving was originally published in Data Driven Investor on Medium, where people are continuing the conversation by highlighting and responding to this story.