Transhumanism and brain
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This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
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Transhumanism and brain
- 4. I/ Current technologies II/ What technologies seem attainable in future III/ Brain and processor: a comparison
- 11. II/ What technologies seem attainable in future A) Mini-antennae
- 12. II/ What technologies seem attainable in future B) Telepathy
- 13. II/ What technologies seem attainable in future C) Neuroreality
- 14. III/ Brain and processor : a comparison Dartmouth Research Project on Artificial Intelligence “ We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer. ” AI is based on the assumption that all brain capabilities can be modelled with processors and electronic memories. We commonly say that computers can “know”, “learn”, or “remember”. But do they work like human beings?
- 15. III/ Brain and processor : a comparison How can a machine actually “learn” something? Bayesian theorem, support vector machines
- 16. III/ Brain and processor : a comparison How can a machine actually “learn” something? Unsupervised learning: random forests, support vector clustering, K-means
- 17. III/ Brain and processor : a comparison How can a machine actually “learn” something? Deep learning and neural networks
- 18. III/ Brain and processor : a comparison Philosophical considerations Aristotle : Nature is a principle and a cause of motion and rest by itself, that is intrinsic and primary. Technique depends on the action of man : the cause of the flight of a bird is nature, whereas the cause of the flight of a plane is technique. Classification of the different forms of life: ● Vegetative life: reproduction, growth, nutrition ● Sensitive life : sight, hearing, … ● Intellectual life: Human intelligence targets the being of things. Consciousness does not necessarily arise from computational power. Human intelligence has less computational power than artificial intelligence. Human intelligence is able to reach the being of things.
- 19. Conclusions Notion of transhumanism ● Related to many technological challenges, from the graft of a member to a complete merge between biology and electronics ● Hard transhumnism: computational power is the only limit that separates man from robot, and robots will become the dominant form of life in the future, but this clashes with many philosophical considerations. ● Soft transhumansim: Interfaces between robots and the human body will become more and more elaborate, but the action of man will remain the primary cause of the development of robots.