By Drew Bates, Head of Product Marketing, SAP Innovation Lab
We are all equipped with the best minds in the known universe. Between ourselves and our predecessors, humans have created virtually everything we touch. We achieved this using a tool which represents the absolute pinnacle of intelligence; our brain.
This is not hyperbole. On an intelligence-scale of zero to one, despite our individual variety, we all fit within the microscopically small space occupied by the right-edge of the ‘e’. We’re up there alone, magnitudes away from the also-rans we share this planet with.
Now we’re having a concerted stab at creating computer programs which are as intelligent as we are. Artificial Intelligence (AI) --for lack of a better definition-- is where software acts human-like. Assuming we’re doing something right, and forgive our big-headedness, this sounds marvelous. The power of human intelligence in a predictable, non chemically-burdened chassis which is always powered-on and free from other responsibilities or predilections.
Follow this idea onwards through a few evolutions and the concept has perhaps too much potential. What if the intelligence-scale goes from zero to one hundred and we are simply not capable of handling the outcome?
Thankfully, we’re at the comforting level where AI means sitting back and relaxing while stuff gets done better or easier without us having to put in so much effort.
What we recognize as AI is most of the time a shortcut through processes to reach a conclusion faster or more productively. By 2020 more or less everything will be touched by AI. Truth is, this comes down to a handful of activities:
Automation
There are not suddenly new things to do. AI just helps us to transition between discrete actions.
It means we can couple workflows together faster like ordering more toilet roll when it runs low or translating a Chinese message into English. Since computers began we’ve been used to them handling our actions based on our rules (every app has a settings page). Dialling this up into AI involves removing the rules and training a computer algorithm to link up the actions.
Prediction
There did not become more variables in the world to work with. AI just helps us to process all the variables in a very programmatic way with a transparent level of confidence.
It may be controversial but guessing what will happen in the future is most accurate when performed within the scientific realm of statistics. Since day one computers have excelled in math and we have almost entirely handed over this responsibility to them. Calculating statistical significance is the building block of machine learning, whether that is assessing weather patterns, detecting diseases or playing chess. We are on a continuous journey of increased data and processing power which make computers better.
Decision
We have not been making all the wrong decisions. AI just helps us be presented with the available options based on more data and with less instinct than we are accustomed to.
Assessing situations without perfect information is not just a human trait but a daily necessity and something we may not realise is constantly happening. From negotiations to ranking new business opportunities we make informed decisions towards our desired outcomes. Moving the needle upwards involves being furnished with more relevant details from more relevant sources.
Interaction
There are not undiscovered ethereal ways to interact with computers. AI just opens new interface methods with less effort.
Since the mouse and keyboard, we have been on a journey to use computers with less hurdles. Learning to type is something we have all needed to achieve for the exclusive task of programming computers and digitally communicating with each other. Now with code to process human sentences and interpret input from cameras and sensors, we can make this interaction as natural as with each other.
The significance of AI
Yet, given these down to earth realities, AI is still a huge deal. We are right now in a world where things get done faster, with more accuracy, based on better knowledge and with increased ease. Statista made a very poignant chart of how smartphone users benefit from artificial intelligence. In short, everything we do is touched in some way by AI.
So, if AI is becoming more and more ingrained into our lives, when do we get close to the machines taking over?
Impact to humans
Gartner may have calculated that by 2020 AI will create 2.3 million jobs while eliminating 1.8 million but this is not destined to last. As we’ve progressed through the last three industrial revolutions on the way to the digital revolution our working lives have fundamentally changed and they will again. Imagine a world where the work-life balance is two days of ‘work’ and five days of ‘life’. It’s quite likely.
Where I stand is that the alarm bells will ring when we morally question turning off a simulation because it has become too intelligent to be considered just code. This is still very firmly in the realm of science fiction. If the evolution of computing power is due to reach Zetta-scale (considered the minimum for human brain simulation) by 2030, at least we will have the hardware capability to make it happen. Right now, we’re firmly at the lizard/mouse stage.
In their AI Open Letter, many of the world’s greatest minds including Stephen Hawking, Mustafa Suleyman, Steve Wozniak and Elon Musk have made their pledge to ring the alarm before the power of AI is taken out of our grasp.
Where you stand is up to you. I’ll leave it with a quote from one of the world’s finest science fiction writers, the late Iain Banks: “We provide the machines with an end, and they provide us with the means.”
This story also appears on the SAP Community.
