Machines vs. Humans

A rough draft of the ISU paper is based on the premise of freedom, the freedom of thought and action that gives unlimited power to humans. In most cases, human behavior and thinking is inherently very spontaneous, not a gradual or computational process. Moreover, it can not be easily predicted by human behavior. The essential freedom of mankind can not be denied. Humans work in exactly the opposite way to machines and computers. Machines do not have the freedom of thought, conversation, movement, emotion.

I put "nature" in quotation marks for reasons. Between nature and culture, between life and machinery, between humans and humans, the basic error dichotomy leads to bothering our brains when the balance seems to have changed. However, as technology changes, the creativity of hybridization also changes. Perhaps the question wall we build up (and will continue to embody) is not a matter between people, but the problem between us and the tools we use to make us more familiar and understand each other.

No one can predict what will happen in the future. Until a while ago, work using artificial intelligence was like taking over human work. Forbes pointed out that this is a matter of people and machines, not human and machine problems. Companies that take measures to invest in human capital and machine capital will make the most of it.

Chess is said to be the most widely studied game in the context of "human and machine" and artificial intelligence. One of the first breakthroughs in this field is the 1997 IBM Deep Blue triumph at the then Garry Kasparov World Championship. At that time, the machine was thought to be less human than chess game, but since then the machine clearly won "battle". As a related note, DeepMind has released AlphaGo several years ago. This is a Go engine that exceeds some of Go's best human players. Go is much more complicated than chess. This is one of the main reasons, and Go is a more powerful game for humans than machines, even with more advanced computing power. Therefore, this can be regarded as breakthrough by itself. The first impressive result has been improved in AlphaGo Zero, and as the authors claim, they learned to master Go through their own games.

Discussions between machinery and humans are accelerating, but it has existed since the birth of computers. Yesterday at the Wall Street Journal, Christopher Memes published an article on groundbreaking research on Alan Turing in mathematical computing. "Why do humans need not worry about the machines around us?" According to Professor S. Barry Cooper, a leading scholar of Turing, "father of computing" before the first circuit is wired I knew that machine computing will change the world for decades. Mims summarizes this article and accurately describes the role of WorkFusion. "The future of technology is not to replace humans with machines," Cooper said.

Automation 2015: How do you decide algorithm judgment and human judgment? Deploying WorkFusion