Artificial Intelligence has been around since the 1950's. Alan Turing envisioned a machine that could think. He devised a test, aptly named the Turing Test, published in an article titled Computing Machinery and Intelligence. He proposed the notion that a computational machine could answer a series of questions from a panel of judges. The responses would be rational, thoughtful, and indistinguishable to another human.
It began with the "heartless" Tin man from the Wizard of Oz and continued with the humanoid robot that impersonated Maria in Metropolis. By the 1950s, we had a generation of scientists, mathematicians, and philosophers with the concept of artificial intelligence (or AI) culturally assimilated in their minds. One such person was Alan Turing, a young British polymath who explored the mathematical possibility of artificial intelligence. Turing suggested that humans use available information as well as reason in order to solve problems and make decisions, so why can't machines do the same thing? This was the logical framework of his 1950 paper, Computing Machinery and Intelligence in which he discussed how to build intelligent machines and how to test their intelligence.
The most important fields are currently machine learning including deep learning and predictive analytics, natural language processing (NLP), comprising translation, classification & clustering and information extraction. Strong AI would match or exceed human intelligence which is often defined as the ability "to reason, represent knowledge, plan, learn, communicate in natural language and integrate all these skills toward a common goal." Regardless of whether this growth will continue and whether the growth of computational power means that the abilities of AI systems will grow exponentially as well, people have the tendency to underestimate the potential of tomorrow's applications by evaluating them in terms of today's enabling technologies. Current techniques used in legal technology tools are called machine learning (including deep learning and predictive analysis) and natural language processing (NLP).
Artificial intelligence is on the rise and has already become a buzzword in the legal industry. So far, the discussion around the use of technology in the legal industry focuses on the battle between humans (lawyers) and machines (robots) – and the possibility of the latter taking over the jobs of lawyers. This short article focuses on the underlying technologies behind the paradigm. Artificial Intelligence (AI) was famously defined by John McCarthy as "the science and engineering of making intelligent machines." AI could also be defined as "cognitive technologies."
There are moments that live on in business history. One of them is the cry: "Mr Watson come here, I want to see you," spoken by Alexander Graham Bell back in 1876, in the world's first telephone conversation. Another significant moment was the day in 1997 when the IBM computer called Deep Blue beat the then world champion Gary Kasparov at chess. And then another IBM moment in 2011 when an even more intelligent computer called Watson -after the IBM founder Thomas Watson and his IBM chief executive son Thomas - won the TV game Jeopardy against human competition. These last two IBM contests demonstrate - we're told - big advances in machine intelligence.