TAG's team prefers the more accurate term "machine-learning" over "AI" when it comes to our describing TAG's grading process and methodology.
TAG’s multi-patented grading system is built around machine-learning image capture software which analyzes cards for defects, damage and imperfections - this system allows TAG to grade cards with validated and reviewed annotations to support the determined grade of the card.
All defects identified by TAG's grading system are thoroughly reviewed by human grading experts before Grade Finalization to confirm accuracy, prevent false positives, and assure consistency in TAG's processes as TAG's technology continues to develop and improve.