Foreword
I had written about my experience with Usage Based Insurance (UBI), over here in the USA a long time ago (Link:
http://www.team-bhp.com/forum/indian...-snapshot.html). In it, a lot of questions came from fellow team-bhp users on the topic of self-driving vehicles. I was stumped and my responses were anything but clear or educated. I felt bad about it, but then it struck me that economists, workers in entire nations and industries are all stumped by what's coming and even they do not fully know how they will survive in the new age of Robotic Automation and Artificial Intelligence (AI).
What is AI?
This is a little complicated. AI was actually born when Alan Turing devised a computer in World War 2. This is to say that wherever there is significant machine-driven computing power, there is some form of AI. Our Personal Computers have exceeded humans in a narrow range of tasks - such forms of AI are called
Artificial Narrow Intelligence (ANI). If you're scoffing at my definition of ANI, you are simply abiding by Tesler's theorem which states that people tend to call whatever is not achieved yet as AI and that people tend to disregard or take for granted any actual AI form in existence! In any case, today's Industrial Robots that manufacture heavy machineries are forms of ANI. So today's Robotics is just an early form of AI in existence.
On the other hand,
Artificial General Intelligence (AGI) is the capability that would enable computers to become self-aware and excel at a wide range of highly cognitive, subjective tasks. In other words, the arrival of AGI is when almost every employed white-collared worker will likely be unemployed and when humanity will see a significant degree of upheaval.
Superintelligence will follow the onset of AGI. People like Elon Musk and Bill Gates are worried about the survival of humanity, since out of the global hundreds of AI researchers and unknown secret military AI researchers, only 6 are concerned with the development of friendly AI. A "Terminator-ish" scenario is not at all unlikely.
Why talk about Robotics and AI at all? Isn't this spiel supposed to be all about self-driving vehicles?
What are self-driving vehicles, if not a manifestation of Artificial Narrow Intelligence (ANI)? Self-driving vehicles of today are Robots, as they excel over humans in driving safely and nothing else. Moreover, self-driving cars are products of intensive machine learning, which is at the heart of AI today.
The "when"
"AI" first became a "thing" during a conference in New Hampshire, USA, in the '50s, when scientists foresaw a future with intelligent robots. But since then AI has gone through many winters and boom-periods. It is full boom-time for all things Robotic and AI today, thanks to a few hardware successes (mostly NVIDIA's success with GPUs) that enabled fast computing and Deep Learning. It is forecast that AGI will take over anywhere between 20 to 80 years down the line. In general, according to the law of exponential growth that computing power grows by (due to Moore's law), it is feared that AGI will arrive sooner than we suspect. As computing capability keeps doubling itself every year, the inevitable is really inevitable. And in case you're thinking that Moore's law might be nearing its end, don't lose sight of the ball here - there's quantum computing, computing based on the connectome (i.e., computing based on the human brain's connections and structure) and other breakthroughs in hardware still in the works, waiting to be proven.
Why humans will certainly be caught unawares by AGI
Computing power has been doubling itself every year according to the Moore's law. The Moon rocket by NASA had lesser computing power than today's washing machines. AI researchers estimate that when exascale operations are made possible for computers (giga is 10 raised to the power of 9; exa is 10 to the power of 18), AGI is most likely to arrive. This is since human brains process information at an exa-scale.
Anyway, let me illustrate how this exponential growth will catch humans off-guard. Exponential growth simply means that with every step, there is a doubling of whatever you're measuring. Let's take a football stadium and fill 1 drop of water in it in 1 minute. The next minute you fill 2 drops, and 4 drops in the next and so on. The football field would have a thin coating of water somewhere around the 40th minute. The field would be inundated with a few feet of water by the 45th minute. But the entire stadium would be inundated (including the stands) by somewhere around the 47th minute. In the last 2 minutes, any over-confident spectators who were watching this experiment from the stands would be doomed. Many AI researchers are stating that we are in that last stretch when our doom is near. I too doubt if many of us realize that most of our jobs are going to get taken away all too soon.
Enough about AI. Let's talk specifically about Self-Driving vehicles. What's the prognosis?
Right. In 2004 during the grand DARPA challenge, the best self-driving vehicle that geeks could create was a Humvee that broke down in the Mojave desert hardly after a few miles when it hit a rock. This was the humble beginning of self-driving vehicles. Today, we all know how Google drove its self-driving cars a million miles before its first accident (which was more due to human error on the part of a bus driver than anything else). There are 3 states in the USA today where their laws allow self-driving cars. The state of Nevada allows self-driving trucks to deliver goods. Uber's trucking division has already been delivering goods commercially. In Europe, truck manufacturers like Scania have been experimenting with caravans of self-driven trucks that have plied on motorways safely with other motorists around them. And the city of Paris has just begun dabbling with a self-driven city bus.
The forecast by the Wharton School of Business is that by 2030, 47% of all jobs in the USA are going to get automated; you have to keep in mind that Truck driving as a profession is the most common job description in every state of the USA. Overall it's a given that every bus, truck and cab driver is going to find themselves out of their professions eventually in developed countries. The highly evolved highway and road infrastructure in these countries is only going to hasten the arrival of self-driving vehicles.
Of course, self-driving vehicles are so very good at averting accidents that this is the carrot that everyone is getting at. I shouldn't keep lamenting the coming economic singularity, when jobless economic growth will come to stay. The (in)human and economic costs of having humans drive vehicles is all too well known; India probably has to be the worst of the lot with an estimated road accident death every 4 minutes. That is appalling indeed. For sparing humans this misery alone, self-driving vehicles are probably worth it.
What are the unknowns surrounding self-driving vehicles at this point?- Since the automobile insurance industry will be decimated by accident-less vehicles, where will they get their bread and butter next? The estimated loss in business for the overall insurance industry might be between 40 to 60% in revenues.
- If and when a rare accident does occur with a self-driving car, who ought to bear the liability for it? The OEM that's assembling it or should it be a root-cause driven attribution to a component manufacturer? Does this mean that this is where insurance companies will next earn their bread, with product liability insurance products?
- Uber CEO Travis Kalanick is betting on self-driving cars to effectively end the era of car ownership. Without the lure of driving in a future where manual driving may even be outlawed, perhaps people won't bother buying cars anymore?
- The self-driving vehicles of today rely on having a human operator who would ideally "take over" when a "new" situation presents itself. There are limits to machine learning and certainly as of today, every self-driving car will hit a situation where it won't know what to do. I think it was Tesla has faced with a serious situation where a customer was inattentive at that precise moment when he was needed to take over and drive his car. He crashed and died. Does this mean that these cars need even more Intelligence whereby they wouldn't hand over control to a noticeably inattentive driver? Or is it that the cars themselves have to get better enough to not need any human intervention?
Conclusion
I try not to lose sight of the coming human commotion and upheaval in developed countries when driving jobs go away first, as early as the year 2030. Other job categories will fall too, but not as quickly. Universal Basic Income from taxation of corporations that use robots or AI might help pay off people's needs but will that keep people happy? We know about resource and cash-rich Udta Punjab. And the citizens of Switzerland in 2016 voted a resounding 77% "No" for Universal Basic Income, in exchange for which they wouldn't have to work. They feel they would much rather work and earn their living.
Voltaire's dictum with work was that work is necessary to deal with man's needs, boredom and vices. Queen Elizabeth the First did in fact ban a knitting machine in her time, since she feared an outbreak of lawlessness among her subjects. Short-sighted governments in the future might ban AI and automation, but such economies will fall by the wayside as the other adopters may chug ahead on the back of their new-found productivity increases. Or maybe these other countries will descend into anarchy and maybe the survivors will just go and live in cabins in the woods...
In any case, I feel that automated or self-driving vehicles' adoption in India will lag the developed countries since Indian road and driving conditions present higher challenges by many magnitudes. But what has to happen will happen eventually even in India.