incorrect
incomplete
inconsistent
caused by:
human error
technical issue
replace
drop
impute
Humans are biased by nature, AI can be biased by training.
It can be hard to spot data bias. A bias can be caused by:
sketchy data
faulty algorithm
insufficient decision context
retrospective
user-centric
past and current events ⇒ prediction
visionary
interdisciplinary scope
past and current patterns ⇒ future trends