Can machines understand human language?
Understanding Language by Machines involves three central concepts: identity, reference and perspective.
Visualising Storylines and Perspectives
A robot shares the world with us
but perceives it differently.
Ambiguity and variation are two very big problems for machines. Language is complex, fluid, flexible, minimalist, abstract and symbolic.
There is no such thing as simple text.
Every text reflects a perspective, even the simplest tweet.
And there is no such thing as a perfect machine.
Will it treat privately shared information with delicacy?
By training computers with human descriptions we impose our biases on machines.