analysis: computational theory: specifying goals of computation representation + algorithms: representing the inputs and outputs and the algorithms that transform one to the other hardware implementation: how the algorithm and representation may be physically realized
Symbolic Modeling: Understanding abstract mental functions, operating using symbols Sub-symbolic Modeling: Following the neural and associative properties of the human brain
augment cognitive ability, we’ve essentially created super- humans. A whole new set of issues regarding racism, classism, and power structures become present.
intelligence: narrow, general, and super. Artificial super-intelligence brings exciting prospects, but the uncertainty and unpredictability is an existential threat.
as in other similar scientific fields, sound knowledge is generally knowledge that is peer-reviewed and determined by the academic community at large (majority rather than consensus) to be accurate.