Intelligence is prediction
Intelligence is the ability to predict what comes next, even when faced with incomplete knowledge. Intelligence is doing the right thing at the right time - sufficiently right to improve a being's chances of survival.
Artificial Intelligence, therefore, should be software that predicts. Software that can do the right thing - sufficiently right to be valuable for a business or an individual. Artificial Intelligence has reached the stage of sufficiency.
A machine can understand natural language, respond and act such as to be genuinely useful. It doesn't have to possess human-level intelligence. It doesn't have to fool you that it's human, even though, surprisingly often, it can. It just has to do a good job - a better job, that is, than countless imperfect websites, telephone systems and even complete, staffed call centres.
Any modern computer can cope with support or telesales 'scripts' with millions of times the complexity of your average human, and can have any amount of information or knowledge 'at its fingertips'. The missing element, until now, has been understanding.
There are, frankly, too many examples of conversational agents that do not say the right thing often enough. They don't understand, spotting just a few key words in what is said. That's not enough.
Our software predicts what comes next, at every stage in a process. It 'thinks of' the trillions of possible sentences that you might say, and knows exactly which one came closest. So it 'understands' you. It knows every part of what you said, and can act on that understanding. It uses context to resolve ambiguity. Our AI can show sufficient intelligence.
Our AI concentrates currently on natural language processing and on emotional states, yet its universal principles can be applied to any sensory or data inputs.
