From pixels to Python: When digital collections befriend artificial intelligence

This paper explores the integration of artificial intelligence (AI) in digital archive practices and its alignment with the methodologies employed in digital scholarship generally. The authors emphasise that AI is an extension of the ways existing technological tools and software are used to enhance workflows, manage data and promote overall accessibility. Various applications of AI in digital archiving are explored, including automated file management, voice-to-text transcription, optical character recognition (OCR), facial recognition in digitised photographs, social media engagement and metadata creation for digital records. While acknowledging concerns regarding ethics, accuracy and privacy, the authors argue that embracing aspects of AI can lead to more efficient and enjoyable practices in digital archiving. Drawing from the core principles of digital humanities, the authors underscore the importance of conscientiously engaging with technology, allowing for a profound respect for and responsible use of AI. The paper concludes by emphasising the importance of maintaining critical inquiry, curiosity and ethical considerations when assessing and integrating AI tools into archival workflows, thus ensuring trustworthy and accessible records for future digital scholarship. Looking ahead, the paper offers insights into the prospective advancements of AI in digital archiving, highlighting its transformative potential in shaping future digital scholarship.