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AI Afterlives
Digital Memory and Synthetic Pasts
AI Afterlives
Digital Memory and Synthetic Pasts
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Description
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.
Accessibility Information
Additional accessibility information
- PDF/UA-2, 1.4
- accessibility@bloomsbury.com
Hazards
The publication contains no hazards
Support for non-visual reading
Has alternative text descriptions for images
Navigation
- Page list to go to pages from the print source version
- Elements such as headings, tables, etc for structured navigation
- All or substantially all textual matter is arranged in a single logical reading order
Table of Contents
List of tables
1. Introduction: Deep learning technologies and the future past
2. Synthetic media | Synthetic pasts
3. Genealogy platforms and AI afterlives
4. Deathbots and the platformisation of remembering
5. Datafied bodies on stage and screen
6. AI afterlives in the museum
7. Conclusion
8. Data coda
Bibliography
Product details
| Published | 09 Jul 2026 |
|---|---|
| Format | Ebook (PDF) |
| Edition | 1st |
| Pages | 256 |
| ISBN | 9781350437531 |
| Imprint | Bloomsbury Academic |
| Illustrations | 15 bw illus, 7 tables |
| Series | Bloomsbury Studies in Digital Cultures |
| Publisher | Bloomsbury Publishing |
About the contributors
Reviews
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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.
Johanna Sumiala, Professor of Media and Communication Studies, University of Helsinki, Finland
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Kidd and Nieto McAvoy offer an urgent and compelling call for the recognition of the human amidst the risks to AI's distorting, flattening and erasing of the future of memory.
Andrew Hoskins, Author of Memorybot

























