There was a time when AI was an esoteric subject that filled the minds of high-minded professors. They had real trouble trying to translate what they were doing into langauage that most of us would understand. Research in the subject area was the purview of national institutes and military facilities. Results flowed into academic journals and little read folders in the corners of university libraries.
That has changed. What was expensive to build and test because everything was unique or bespoke is no longer. Enough is known about algorithms that work, and the ones that don’t, to make practical experimentation much more viable. AI tools are turning up on our desktops, tablets, and phones without us even asking. Opting-in is often assumed.
A massive number of applications are nothing more than fizz. They can be useful, but they are not game changers, and our lives carry on much as before. What is new, or at least pushing at the door, is applications that control things in our everyday environment.
If traffic lights start guessing what my age is before allocating a maximum time to cross the road, we are going to start to see a good amount of pavement rage when they get it wrong. When AI algorithms drive my car for me it’s going to be a bad day when accidents start to accumulate[1] (even if the total system of systems is far safer than us mere humans). Anyway, it’s easy to write scary stuff about AI. In this case I’d like to highlight some positive gains that might be realised.
A lot of what is designed, produced, and sold is pretty much fixed the day it leaves the shop or showroom. Yes, for example, cars are recalled for fixing known deficiencies but the threshold for taking such action is extremely high. Even in a safe industry like civil aviation dealing with an unsafe condition that has been discovered takes time and a great deal of resources.
AI has the potential to be adaptive[2]. So, that thing that you buy, car, washing machine, or whatever, will have the inbuild ability to learn. To adapt to its situation. To be like others of its type but, over time, to customise itself to the needs of its user.
Just image a domestic appliance that can adapt to its pattern of use. Always staying with safe boundaries, producing maximum energy efficiency, and doing its job to the best of its specification. Let’s imagine a car that gets to know common routes and all the hazards on those routes and even takes the weather and time of day into account when driving those routes.
In all that adaptive potential there’s great benefit. Unlike buying gloves that are made to specific standard sizes and don’t quite fit you, the adaptive glove would be that malleable leather that slowly gets a better and better fit with use. AI will be able to do that if it gathers the right kind of data.
Now naturally, this gets complicated if the adaptive element is also safety related. The control system in a car, truck, tram, train, or aircraft must get it right day after day in a wide range of conditions. Nevertheless, if systems are constrained within known safe boundaries there’s much to be gained by adaptation. This is not taking control away from the human in the loop but making it easier to do what humans do best. Just a thought.
[1] https://www.washingtonpost.com/technology/2023/09/28/tesla-trial-autopilot-crash/
[2] https://luffy.ai/pages/IS-DR.html
John Vincent 