This chapter encompasses new ways of producing and perceiving digital cultural heritage through artful applications of artificial intelligence and technologies of computational forensic analysis to visual cultures. It introduces the concept of peripheral vision as a pivotal tenet of cultural heritage in the post-digital era. Three tropes of peripheral vision are foregrounded, including cultural deep fakes created through replication and AI synthesis, technologies for the forensic revelation of cultural heritage artefacts, and the capacity of machine learning to elicit new meanings and deeper or wider interpretations of cultural big data. Drawing on large databases of digitized art treasures, artists and museum professionals are using these approaches to proliferate new forms of computational authorship and novel algorithmic aesthetics. Peripheral vision techniques have additionally inspired critiques of AI in the form of provocative digital doppelgängers.