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 Although somewhat controversial, copy and error are unavoidable and necessary components of a contemporary design process. Sample, reference, and precedent are widely used techniques in design, and the rapid mass adoption of artificial intelligence tools has brought the copy even more into daily discussions. The current trajectory of Al is to remove error to create a tool which can be relied upon for its accuracy and predictability, but this is runs contrary to human intelligence of which it is attempting to replicate. This lecture will seek to reinforce the position of both the sample and error in contemporary design as vital tools which can be powerful catalysts.



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