Digital duplicates (DDs), or artificial intelligence
(AI) simulations of individual minds, are AI models
designed to emulate real people. Depending on how
they are trained, DDs can reproduce aspects or signs
of a person’s psychology, values and communication
style, enabling interaction with digital approximations
of living, recently deceased or historical individuals.
Proposed uses include education, advocacy, grief support,
medical decision- making and the continuation of creative
or personal …
Read moreDigital duplicates (DDs), or artificial intelligence
(AI) simulations of individual minds, are AI models
designed to emulate real people. Depending on how
they are trained, DDs can reproduce aspects or signs
of a person’s psychology, values and communication
style, enabling interaction with digital approximations
of living, recently deceased or historical individuals.
Proposed uses include education, advocacy, grief support,
medical decision- making and the continuation of creative
or personal projects. While potentially valuable, these
applications also pose ethical risks such as privacy
loss, misrepresentation, manipulation and the erosion
of authentic human relationships. This paper argues
that DDs should be treated as context- specific tools
rather than general- purpose technologies. We outline a
two- tier ethical framework grounded in considerations
of harm and proportionality, supported by the values of
information permission, transparency, authenticity and
appropriate access. The framework unites diverse moral
concerns under a single framework while allowing their
relative weight to vary across domains such as medicine,
education, memorialisation and entertainment. By situating
ethical evaluation within a harm- reduction approach that
is sensitive to context, we offer a practical basis for the
responsible development and governance of human-emulating
AI systems.