Integrated　circuits　are　the　core　of　a　cyber-physical　system,　where　tens　of　billions　of　components　are　integrated　into　a　tiny　silicon　chip　to　conduct　complex　functions.　To　maximize　utilities,　the　design　and　manufacturing　life　cycle　of　integrated　circuits　rely　on　numerous　untrustworthy　third　parties,　forming　a　global　supply　chain　model.　At　the　same　time,　this　model　produces　unpredictable　and　catastrophic　issues,　threatening　the　security　of　individuals　and　countries.　As　for　guaranteeing　the　security　of　ultra-highly　integrated　chips,　detecting　slight　abnormalities　caused　by　malicious　behavior　in　the　current　and　voltage　is　challenging,　as　is　achieving　computability　within　a　reasonable　time　and　obtaining　a　golden　reference　chip;　however,　artificial　intelligence　can　make　everything　possible.　For　the　first　time,　this　paper　presents　a　systematic　review　of　artificial-intelligence-based　integrated　circuit　security　approaches,　focusing　on　the　latest　attack　and　defense　strategies.　First,　the　security　threats　of　integrated　circuits　are　analyzed.　For　one　of　several　key　threats　to　integrated　circuits,　hardware　Trojans,　existing　attack　models　are　divided　into　several　categories　and　discussed　in　detail.　Then,　for　summarizing　and　comparing　the　numerous　existing　artificial-intelligence-based　defense　strategies,　traditional　and　advanced　artificial-intelligence-based　approaches　are　listed.　Finally,　open　issues　on　artificial-intelligence-based　integrated　circuit　security　are　discussed　from　three　perspectives:　in-depth　exploration　of　hardware　Trojans,　combination　of　artificial　intelligence,　and　security　strategies　involving　the　entire　life　cycle.　Based　on　the　rapid　development　of　artificial　intelligence　and　the　initial　successful　combination　with　integrated　circuit　security,　this　paper　offers　a　glimpse　into　their　intriguing　intersection,　aiming　to　draw　greater　attention　to　these　issues.　©　2025　by　the　authors.