TLDR: Researchers explored ‘deathbots,’ AI systems designed to simulate deceased individuals using their digital traces. While offering a form of ‘digital resurrection’ through interactive avatars, the study found these technologies often provide a superficial connection, highlighting the commercialization of grief and the limitations of AI in replicating human memory and relationships. The experience can be unsettling, with algorithms struggling to convey emotional nuance, and raises significant ethical concerns about the grieving process and data privacy.
Artificial intelligence (AI) is rapidly expanding into the realm of grief and remembrance, with the emergence of ‘deathbots’ – AI systems designed to simulate the voices, speech patterns, and personalities of deceased individuals. A recent study, published in ‘Memory, Mind & Media’ by researchers Eva Nieto McAvoy from King’s College London and Jenny Kidd from Cardiff University, delves into the capabilities and implications of these digital afterlives.
‘Deathbots’ function by drawing on a person’s extensive digital footprint, including voice recordings, text messages, emails, and social media posts. This data is then used to create interactive avatars that aim to mimic the deceased, offering a semblance of communication from beyond the grave. Media theorist Simone Natale notes that these ‘technologies of illusion’ have historical roots in spiritualist traditions, but AI significantly enhances their convincing power and commercial viability.
The ‘Synthetic Pasts’ project, under which this research was conducted, investigates how technology influences the preservation of personal and collective memory. The researchers became their own test subjects, uploading personal videos, messages, and voice notes to create ‘digital doubles.’ They explored scenarios both as users preparing their own synthetic afterlives and as bereaved individuals attempting to interact with a digital version of a deceased loved one.
The findings were described as both fascinating and unsettling. Some systems focused on memory preservation, allowing users to record and store personal stories, which AI then indexed as a searchable archive. Other platforms utilized generative AI to facilitate ongoing conversations, building chatbots that could respond in the deceased’s tone and style, with machine learning enabling these avatars to evolve over time.
Despite claims of offering an ‘authentic’ emotional connection, the researchers found that increased personalization often led to a more artificial experience. Algorithms struggled with the emotional weight of loss, sometimes producing incongruous responses, such as cheerful emojis when discussing death. For instance, a ‘deathbot’ might respond to an expression of missing someone with a stiff, pre-programmed phrase like, ‘I’m right here for you, always ready to offer encouragement and support whenever you need it. And I miss you too… Let’s take on today together, with positivity and strength.’ This highlights the limitations of synthetic intimacy.
Behind these technologies lies a clear business model. These are not charitable endeavors but tech startups operating on subscription fees, ‘freemium’ tiers, and partnerships with insurers or care providers. Philosophers Carl Öhman and Luciano Floridi describe this as a ‘political economy of death,’ where personal data continues to generate value even after an individual’s passing. Platforms encourage users to ‘capture their story forever’ while simultaneously harvesting emotional and biometric data to maintain engagement, turning memory into a monetized service, as noted by Professor Andrew McStay.
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The promise of ‘digital resurrection’ – the reanimation of the dead through data – is compelling. However, the study concludes that while ‘algorithmic empathy’ can be persuasive, it operates within the confines of code, altering the experience of remembrance by smoothing over ambiguity and contradiction. Media theorist Wendy Chun observes that digital technologies often conflate ‘storage’ with ‘memory,’ risking a misunderstanding of death itself by replacing the finality of loss with an endless, interactive simulation. AI can preserve stories and voices, but it cannot replicate the complex, living essence of a person or a relationship. The ‘synthetic afterlives’ ultimately reveal more about the technologies and their profit motives than about genuine communication with the deceased.
