Navigating Ethical Boundaries in Genealogy
Artificial intelligence has not simply “arrived” — it has quietly woven itself into the everyday practice of family history research. Many of us use it already without thinking: automatic transcriptions, enhanced search, handwriting recognition, image restoration, and suggested records all rely on forms of AI.
Now, ever increasing powerful tools sit directly at our fingertips, capable of animating historic photographs, generating voices to read long-forgotten letters aloud, and creating visual interpretations of ancestors based on archived descriptions. These possibilities are expanding rapidly and, before long, will be as familiar to researchers as searching a digitised index.
With this progress comes an important question for genealogists, and is one that often comes up in presentations: Will we gone too far with the use of AI in Family History?

How Far Is Too Far?
When we use AI to represent the past, we are making choices that sit somewhere on a spectrum from faithful preservation to imaginative interpretation. And those choices matter.
For me, the answer often depends on proximity. If I create a digital interpretation of a 3rd great-grandfather from the early nineteenth century, I feel comfortable acknowledging the imaginative gaps. But if someone produced an AI deepfake of my late mother, a person I knew deeply, I would look much more critically at how faithfully it honoured her.
This insight led me to develop what I call the Continuum of AI Use in Family History — a way of understanding not just what AI can do, but how far we feel ethically comfortable in employing AI tools.
This continuum is not a rulebook. Rather, it is a framework to help us reflect on where we each sit, and why. And in fact, we may sit at different places, depending upon the context, our research question and what we want to achieve.
The Continuum of AI Use in Family History
Below are the six stages of the Continuum, with examples of how genealogists may already be using (or may soon use) artificial intelligence in their work.

PRESERVE
Purpose: Honour the historical record by protecting accuracy
Common uses: AI transcription, OCR, image clean-up
Real-world scenario: Transcribing 19th-century parish registers or removing creases from a family photograph without altering the content
Ethical reflection: Minimal risk — we are clarifying, not changing, evidence
Emotional tone: Confidence, clarity, stewardship

REVEAL
Purpose: Support understanding and interpretation of sources
Common uses: Summaries of documents, automatic timelines, research suggestions
Real-world scenario: AI summarises a probate file or extracts key details from an obituary, helping identify patterns or gaps
Ethical reflection: AI assists, but the genealogist remains in control
Emotional tone: Curiosity, insight, understanding

RECONSTRUCT
Purpose: Create visuals informed by documented facts
Common uses: Clothing style, settings, facial reconstruction based on written descriptions
Real-world scenario: A convict ticket-of-leave noting “blue eyes, black hair, scar above right brow” informs a respectful AI portrait
Ethical reflection: Interpretation, not certainty — always label as such
Emotional tone: Interpretation, informed imagination

INTERPRET
Purpose: Evoke atmosphere, emotion, and historical experience
Common uses: Composite visuals, stylised images, evocative storytelling
Real-world scenario: A layered image combining a ship’s manifest, coastline, and family name to represent migration
Ethical reflection: Transparent creativity — the line between art and evidence remains clear
Emotional tone: Creativity, atmosphere, empathy

REANIMATE
Purpose: Bring archival material to life through motion or sound
Common uses: Animated portraits; AI voice reading original letters
Real-world scenario: An animated 1880s portrait gently moving as authentic diary excerpts are read aloud
Ethical reflection: Powerful and emotional; use with context and sensitivity
Emotional tone: Connection, poignancy, awe, caution

IMPERSONATE
Purpose: Generate new content as if created by the ancestor
Common uses: AI-written letters, “lost” diary entries, imagined monologues, videos
Real-world scenario: AI generates a letter from an ancestor describing their migration experience
Ethical reflection: Highest caution – risks replacing truth with invention; must be clearly labelled as creative
Emotional tone: Ambiguity, sensitivity, ethical alert
Emotional Distance Matters
A guiding principle emerged as I developed this continuum:
The closer our lived memory of a person, the greater our ethical responsibility in representing them.
In genealogy, the emotional distance between us and those we research shapes the decisions we make about how they are portrayed. Our comfort and caution shift depending on how closely we feel tied to the person.
We can think of this as a progression or spectrum:
Lived memory > Family memory > Archival memory > Historical imagination
- Lived memory
People we knew personally. Our responsibility is high because we hold real knowledge of who they were, how they spoke, what mattered to them. Depicting them inaccurately can feel like a betrayal of trust. - Family memory
People remembered through stories, photos, and the recollections of relatives. We feel a duty to be faithful to shared memory and to handle stories passed down with care. - Archival memory
Individuals known only through documents, records, and historical traces. Here, we become interpreters. We rely on evidence, inference, and context rather than personal recollection. - Historical imagination
Those for whom only fragments remain, or whose identities are largely symbolic in the family tree. Here, creative reconstruction may feel more acceptable — as long as it is clearly acknowledged as interpretation.
In each case, our role shifts:
- We guard the dignity of those we knew.
- We interpret those we only meet through the archive.
Both are acts of care and remembrance — simply expressed differently.
Understanding where an ancestor sits on this spectrum can help us decide how far we are comfortable going with AI-assisted reconstruction. It is not about rigid rules, but about thoughtful stewardship, emotional honesty, and respect for the lives we explore.
Guiding Questions for Using AI in Genealogy
As AI becomes increasingly embedded in genealogical tools and workflows, these questions help ensure that care remains at the centre of innovation:
- Am I illuminating their story, or rewriting it?
- Would future generations be able to tell what is factual and what is interpretative?
- Is this representation respectful of the person and their life?
- Am I filling gaps responsibly, or inventing detail that may mislead?
- Would I be comfortable if someone did this with my story, or with a loved one’s?
- Is the technology helping me understand the past — or tempting me to recreate it?
There is no single correct answer. What matters is reflection, transparency, and respect.
Where Do You Sit?
AI in family history provides us with an opportunity, and a big responsibility, to use it thoughtfully. The Continuum helps us frame those decisions, from factual clarity to imaginative reconstruction.
I would love to hear your ideas on the continuum, and how you see it being useful in AI shaping the future of family history.

Download the Continuum
You are welcome to share and use this framework in presentations, society meetings, teaching, and personal research, provided attribution is included.
Please credit: Continuum of AI Use in Family History | © Andrew Redfern 2025
Formats available:
Concept developed and first published by Andrew Redfern, 2025.

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