Research & Industry Context

The Afterlife AI™ service is built within an active research conversation. The following works are particularly relevant to the consent-first thesis and to the design of Executor Lock™. Readers from academic or research backgrounds will find the alignment between the published literature and the service architecture explicit.

Hollanek and Nowaczyk-Basinska (University of Cambridge, 2024)

The Cambridge Leverhulme Centre for the Future of Intelligence published an influential paper on the digital afterlife industry calling for design safeguards around posthumous AI representations. The paper specifically argues for opt-in consent mechanisms during the subject's lifetime, restrictions on commercial use, and clear sunset clauses. The Afterlife AI™ architecture implements all three through Executor Lock™ and the continuity terms of the Executor Lock™ Agreement.

Lei et al. (CHI 2025, ArXiv 2502.10924)

An empirical study published at the ACM CHI 2025 conference examined how users design AI representations of deceased loved ones and what features they value most. Among the findings: users overwhelmingly prefer representations governed by explicit terms set by the deceased during their lifetime, rather than reconstructed from social media data without consent. The finding maps directly onto the Afterlife AI™ design premise.

Lindemann (PMC NIH, 2022)

A peer-reviewed paper hosted by the United States National Library of Medicine examining the ethical risks of deathbots and griefbots. The paper identifies dependency formation, value drift, and consent absence as the three principal risks. Executor Lock™ addresses the second and third risks directly. The first is addressed through the design choice to support episodic rather than continuous access patterns.

AI Policy Perspectives (Google DeepMind, Morris and Brubaker, 2024)

A position paper from Google DeepMind and the University of Colorado Boulder calling for governance frameworks around posthumous AI. Brubaker is the researcher who advised Meta on the original Facebook Legacy Contact feature. The paper's call for explicit posthumous governance mechanisms is consistent with the Executor Lock™ approach.

Schwartz Reisman Institute (University of Toronto)

Ongoing research on AI ethics including specific work on posthumous AI representation. The institute's framing of the question (who can consent on behalf of someone who can no longer consent themselves) is the framing Afterlife AI™ took as its founding premise.

Stokes (Deakin University, Bloomsbury Academic, 2021)

Patrick Stokes is Associate Professor of Philosophy at Deakin University, Melbourne, and author of Digital Souls: A Philosophy of Online Death (Bloomsbury Academic, 2021). The book is one of the standard reference works in the philosophy of online death and has been cited extensively in academic and mainstream coverage of the digital afterlife industry since its publication. Stokes argues that the digital dead are objects of moral concern and that we have duties towards them. Quoted in The Daily Telegraph in January 2026, he distinguished between connecting to another consciousness in a phone call and connecting to a prediction machine in a chatbot, and warned about the commercial drift risk when platform terms of use change over time. The Afterlife AI™ consent-first design directly addresses both concerns: the Persona is explicit about what it is, and Executor Lock™ cryptographically constrains commercial drift after the creator's death.

The Conversation (Potter, UNE Law, February 2026)

The most-cited Australian legal-academic framing of the digital twin question. Argues that the consent-first contractual approach is the most legally robust path through a domain where Australian law has not yet established personality or publicity rights. The article is the highest-authority external endorsement of the Afterlife AI™ design approach published to date.

The grief tech and digital afterlife industry has been growing rapidly through the mid-2020s. The market context below provides framing for why the consent-first approach matters at this specific moment.

Market size and growth

Industry analysts estimate the global grief tech market at several hundred million dollars as of 2026, with projected growth to multiple billions by 2030. Australia, the UK and the US are the largest English-language markets. Growth is being driven by three converging factors: the maturation of generative AI, the increasing share of identity and memory that is digital rather than physical, and the demographic transition of the baby boomer generation through end-of-life.

Demographic context

Estate planning industry research consistently reports that more than half of adults in major Anglophone economies have no will or estate plan. The proportion who have any explicit digital legacy plan is much lower, typically under ten percent. As digital assets and digital memory have become a larger share of inheritance, the gap has widened rather than narrowed.

The bereavement-driven services that dominated the first decade

The first decade of the digital afterlife industry was dominated by services that activated after death, often built from social media data without explicit consent from the deceased. This pattern produced the legal and ethical questions that academic researchers have spent the past several years documenting. Afterlife AI™ is part of the consent-first response to those questions.

The consent-first response

From the early 2020s, a number of services have begun moving from bereavement-driven reconstruction toward consent-first capture during life. Afterlife AI™ sits at the most architecturally explicit end of that movement, with cryptographic enforcement of authority transition through Executor Lock™. The category is still small relative to the bereavement-driven incumbents but is growing faster.

Key terms used in this page and across the Afterlife AI™ product.

Digital twin

An interactive AI representation of a specific person. In the Afterlife AI™ context, a digital twin is a Persona built deliberately by the person it represents, while they are alive, across the eleven dimensions of who they are.

Persona

The Afterlife AI™ term for a single creator's digital twin. A Persona is structured across the eleven dimensions, governed by Executor Lock™, accessible to designated Trusted Contacts and Executor on the terms set by the creator.

Executor

The person you designate to manage your Persona after your death, on the terms you set in advance via Executor Lock™. The Executor's authority is bounded. They cannot rewrite the rules you set.

Trusted Contact

A person you designate to interact with your Persona, either during your lifetime, after your death, or both. Different Trusted Contacts can have different access rights. You can change Trusted Contacts at any time during your lifetime.

Executor Lock™

The cryptographically enforced authority-transition system that governs what a Persona can and cannot do once a verified authority-transition event (death) occurs. Executor Lock™ is the mechanism that makes consent enforceable in practice rather than just contractual on paper.

Authority-transition event

A verified life event, death under the current Executor Lock™ Agreement, that triggers the transition of defined authority from the creator to the Executor.

Griefbot or deathbot

Terms used in academic and journalistic literature to describe AI representations of deceased people, typically built from the deceased person's data after their death and often without their explicit consent. The category Afterlife AI™ was built to be the consent-first alternative to.

Posthumous data licensing

The legal-academic term, used in Wellett Potter's analysis in The Conversation, for the deliberate contractual creation of AI-generated data for use after the creator's death. The Afterlife AI™ service is the practical implementation of this concept.