Each year, the artificial intelligence community convenes to administer the famous -- and famously controversial -- Turing test, pitting sophisticated software programs against humans to determine if a computer can "think." The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the "Most Human Human." Brian Christian, a young poet with degrees in computer science and philosophy, was chosen to participate in a recent competition. This playful, profound book is not only a testament to his efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place.
Most researchers you speak to these days predict that after the boom of neural networks in machine learning, we will reach A.G.I. (artificial general intelligence), and then soon A.H.I. (artificial human intelligence), until the final step A.S.I. (artificial super intelligence). While this seems like the most logical path, and a solid theory based on logic, does this mean that we should rigidly follow this direction? There are a lot of downsides to especially the artificial human intelligence step, both in the implementation details (which can be overcome), as well as the implications it will have on the following step, artificial super intelligence.
Artificial Intelligence (AI) is going through the process of evolution. To date we have seen the emergence of artificial narrow intelligence (ANI), and artificial general intelligence (AGI) to artificial super intelligence (ASI). Those working in the field predict that it won't be long until AI is able to "combine the intricacy and pattern recognition strength of human intelligence with the speed, memory and knowledge sharing of machine intelligence," as Jayshree Pandya writes in his recent Forbes article. One of the upshots of this progress is that people feel less insecure and fear what this may mean for their future, particularly with regard to employment. After all if AI can replace most manual and mundane work that will affect a significant number of people in manufacturing industries.