AI Afterlives offers the first empirically informed investigation of how algorithms and automation are being used to ‘revive’ media fragments from the past, from animating old photographs of our ancestors, to creating deathbots, or using the likeness of deceased actors in films. It draws on a series of unique and innovatively designed datasets to trace the ethical, emotional, mnemonic and political dimensions of creating synthetic pasts. Situated at the intersection of Digital Memory, New Media and Critical Algorithm Studies, the book speaks to a range of pressing concerns about what futures our uses of AI will facilitate, what ethical challenges these systems suggest in the present, and how our relationship to the past is oriented and experienced.
Jenny Kidd is a Reader at Cardiff University, UK.Eva Nieto McAvoy is a Lecturer at King’s College London, UK.
List of figuresList of tables1. Introduction: Deep learning technologies and the future past 2. Synthetic media | Synthetic pasts3. Genealogy platforms and AI afterlives 4. Deathbots and the platformisation of remembering 5. Datafied bodies on stage and screen6. AI afterlives in the museum7. Conclusion8. Data codaBibliography
AI Afterlives is a highly engaging read. It offers important new vocabularies for thinking about how today’s algorithmic systems shape the ways we remember, mourn, and reimagine personal and collective pasts. The book envisions synthetic pasts beyond data exploitation.