But now, machines are constructed like biology, and learn by observing and experiencing.
This creates the bigly problem, you can’t look inside a computer neurological network to see how it works
These outputs are fed to the neurons in the next layer…
Until an overall output is produced
The many layers in a network enable it to recognize things at different levels of abstraction.
Interrogating an Algorithm should be a Human Right
What is AI?
There is no consensus definition of what ‘it’ is, this constrains any real "policy infrastructure"
a) Machine Learning: algorithms capable of ‘self-learning,’ & improving their output through experience =supervised learning by humans, and there is unsupervised learning , for example how Netflix recommends the next movie you should watch
d) Deep Reinforcement Learning: capable of learning how to adapt in the real world.
Now you know everything in the world, you're complete