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Becoming intelligent by machine instruction rather than human instruction.
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Classroom Contents
Intelligent Systems
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- 1 Krakauer introduces topic of intelligence at the individual level made possible by culture, the nature of collective intelligence, and A.I.
- 2 first question What makes intelligence in any species possible? What other kinds of intelligence is out there?
- 3 Is technology, computation, gaming, and education the cumulative transmission for the best of our culture? If we’re going to be sending education out into space what form of education are we going …
- 4 Creating next generations of systems that look like they do in the real world videos and affinity groups so they can be improved.
- 5 Becoming intelligent by machine instruction rather than human instruction.
- 6 Things that are particular to human bonds and how they receive information.
- 7 The importance of having a caring mentor.
- 8 Having virtual coaching agents vs. the human bond.
- 9 Successful Ideas of deep learning and reinforcement schemes.
- 10 How machine learning systems work.
- 11 Different kinds of robotics represented in Jonah Nolan’s work.
- 12 Definitions of A.I.
- 13 Euphoric techno-optimism vs. fear that technology will inherit all of our human problems.
- 14 Designing agents that can inhabit the very best in human behavior
- 15 Various kinds of intelligence including animals that can carry the range of human emotions
- 16 Collective intelligence of animals and humans such as cumulative culture
- 17 Dark side of collective intelligence in the new tech world such as chat bots
- 18 Bias and algorithms
- 19 Field of machine translation which doesn’t preserve gender biases of source language.
- 20 The ethics of machine translation.
- 21 Exploring the hybrid domain and whether or machines have to be human for us to empathize.
- 22 Caring about synthetic characters in games
- 23 Finding empathy for forms of artificial intelligence such as robots, artificial wisdom and artificial sanity.
- 24 Is the world very unintelligent right now and why?
- 25 How culture evolves by adapting to people’s minds.
- 26 Gender neutral language
- 27 Flynn effect is an expression of our culture since it means that large scale intelligence tests have to renormalize every 10 years.
- 28 How intelligence is a shared phenomenon and the ethics of how it relates to social networking.
- 29 The one species that best represents the intelligence of evolution.
