El mito de la Inteligencia Artificial
por qué las máquinas no pueden pensar como nosotros lo hacemos
Larson, Erik J.
The messiahs of the future insist that Artificial Intelligence will soon eclipse the capabilities of the most talented human minds. According to them, there is no hope, since the advance of super-intelligent machines is unstoppable. But the reality is that we are neither on the road to the development of intelligent machines nor do we even know where that road might lie. Erik Larson is a pioneering natural language processing scientist and researcher, as well as a technology entrepreneur working at the forefront of AI. In this book he takes us on a tour of the current landscape of this field to demonstrate how far we really are from superintelligence and what it would take to get there. Ever since Alan Turing, artificial intelligence enthusiasts have made the profound mistake of equating it with human intelligence. But AI works with inductive reasoning, processing data sets to predict outcomes, whereas humans don't correlate data sets: we make guesses from contextual information and experience. We have no idea how to program this type of intuition-based reasoning, known as abductive reasoning. The real problem is that the hype around AI is not only bad science, it's also bad for science. The culture of innovation flourishes when it explores the unknown, not when it exaggerates the virtues of existing technologies. Inductive AI will continue to get better at performing specific tasks, but if we want to make real progress, we must start by fully appreciating the only true intelligence we know: our own.
- Author
-
Larson, Erik J.
- Subject
-
Computing and communications
> Practical computing
- EAN
-
9788413611686
- ISBN
-
978-84-1361-168-6
- Edition
- 1
- Publisher
-
Shackleton Books
- Pages
- 368
- High
- 23.0 cm
- Weight
- 16.0 cm
- Release date
- 17-10-2022
- Language
- Spanish
- Series