The　main　aim　of　this　study　is　to　assess　the　potential　©　infringement　risks　(CIR)　in　information　resources　by　using　the　extension　theory.　At　first,　the　analytic　hierarchy　process　(AHP)　is　employed　to　determine　the　weights　of　the　existing　early　warning　indicators　system.　Secondly,　a　model　is　built　based　on　the　extension　theory　to　evaluate　the　potential　CIR　in　information　resources.　Finally,　a　real-world　application　is　presented　to　show　the　effectiveness　and　usefulness　of　our　approach.　The　main　findings　of　this　study　are　as　follows:　(1)　the　early　warning　extension　theory　model　is　effective　in　distinguishing　the　degree　of　the　potential　CIR　in　information　resources;　(2)　the　information　resources　of　XX　University　is　identified　as　located　in　the　non-warning　level,　which　meaning　there　is　only　a　slim　chance　of　infringing　copyright.　This　paper　introduces　the　extension　theory　into　the　evaluation　of　the　potential　CIR　in　information　resources.　The　results　contribute　to　providing　decision　support　for　the　decision　maker　in　handling　the　potential　CIR　in　information　resources.　©　2015　IEEE.