The American Journal of Bioethics,
Journal Year:
2023,
Volume and Issue:
23(5), P. 43 - 45
Published: May 2, 2023
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article
refers
to:Conversational
Artificial
Intelligence
in
Psychotherapy:
A
New
Therapeutic
Tool
or
Agent?
Additional
informationFundingFunding
for
this
commentary
was
provided
by
Stanford
Human-Centered
Seed
Grant.
npj Mental Health Research,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: April 2, 2024
Abstract
Large
language
models
(LLMs)
such
as
Open
AI’s
GPT-4
(which
power
ChatGPT)
and
Google’s
Gemini,
built
on
artificial
intelligence,
hold
immense
potential
to
support,
augment,
or
even
eventually
automate
psychotherapy.
Enthusiasm
about
applications
is
mounting
in
the
field
well
industry.
These
developments
promise
address
insufficient
mental
healthcare
system
capacity
scale
individual
access
personalized
treatments.
However,
clinical
psychology
an
uncommonly
high
stakes
application
domain
for
AI
systems,
responsible
evidence-based
therapy
requires
nuanced
expertise.
This
paper
provides
a
roadmap
ambitious
yet
of
LLMs
First,
technical
overview
presented.
Second,
stages
integration
into
psychotherapy
are
discussed
while
highlighting
parallels
development
autonomous
vehicle
technology.
Third,
care,
training,
research
discussed,
areas
risk
given
complex
nature
Fourth,
recommendations
evaluation
provided,
which
include
centering
science,
involving
robust
interdisciplinary
collaboration,
attending
issues
like
assessment,
detection,
transparency,
bias.
Lastly,
vision
outlined
how
might
enable
new
generation
studies
interventions
at
scale,
these
may
challenge
assumptions
Frontiers in Digital Health,
Journal Year:
2023,
Volume and Issue:
5
Published: Nov. 8, 2023
Artificial
intelligence
(AI)-powered
chatbots
have
the
potential
to
substantially
increase
access
affordable
and
effective
mental
health
services
by
supplementing
work
of
clinicians.
Their
24/7
availability
accessibility
through
a
mobile
phone
allow
individuals
obtain
help
whenever
wherever
needed,
overcoming
financial
logistical
barriers.
Although
psychological
AI
ability
make
significant
improvements
in
providing
care
services,
they
do
not
come
without
ethical
technical
challenges.
Some
major
concerns
include
inadequate
or
harmful
support,
exploiting
vulnerable
populations,
potentially
producing
discriminatory
advice
due
algorithmic
bias.
However,
it
is
always
obvious
for
users
fully
understand
nature
relationship
with
chatbots.
There
can
be
misunderstandings
about
exact
purpose
chatbot,
particularly
terms
expectations,
adapt
particularities
responsiveness
needs
resources/treatments
that
offered.
Hence,
imperative
are
aware
limited
therapeutic
enjoy
when
interacting
Ignorance
misunderstanding
such
limitations
role
may
lead
misconception
(TM)
where
user
would
underestimate
restrictions
technologies
overestimate
their
provide
actual
support
guidance.
TM
raises
exacerbate
one's
contributing
global
crisis.
This
paper
will
explore
various
ways
which
occur
inaccurate
marketing
these
chatbots,
forming
digital
alliance
them,
receiving
bias
design
algorithm,
inability
foster
autonomy
patients.
JMIR Mental Health,
Journal Year:
2024,
Volume and Issue:
11, P. e54781 - e54781
Published: April 18, 2024
This
paper
explores
a
significant
shift
in
the
field
of
mental
health
general
and
psychotherapy
particular
following
generative
artificial
intelligence's
new
capabilities
processing
generating
humanlike
language.
Following
Freud,
this
lingo-technological
development
is
conceptualized
as
"fourth
narcissistic
blow"
that
science
inflicts
on
humanity.
We
argue
blow
has
potentially
dramatic
influence
perceptions
human
society,
interrelationships,
self.
should,
accordingly,
expect
changes
therapeutic
act
emergence
what
we
term
third
psychotherapy.
The
introduction
an
marks
critical
juncture,
prompting
us
to
ask
important
core
questions
address
two
basic
elements
thinking,
namely,
transparency
autonomy:
(1)
What
presence
therapy
relationships?
(2)
How
does
it
reshape
our
perception
ourselves
interpersonal
dynamics?
(3)
remains
irreplaceable
at
therapy?
Given
ethical
implications
arise
from
these
questions,
proposes
can
be
valuable
asset
when
applied
with
insight
consideration,
enhancing
but
not
replacing
touch
therapy.
The American Journal of Bioethics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 13
Published: Sept. 17, 2024
Given
the
need
for
enforceable
guardrails
artificial
intelligence
(AI)
that
protect
public
and
allow
innovation,
U.S.
Government
recently
issued
a
Blueprint
an
AI
Bill
of
Rights
which
outlines
five
principles
safe
design,
use,
implementation.
One
in
particular,
right
to
notice
explanation,
requires
accurately
informing
about
use
impacts
them
ways
are
easy
understand.
Yet,
healthcare
setting,
it
is
unclear
what
goal
explanation
serves,
moral
importance
patient-level
disclosure.
We
propose
three
normative
functions
this
right:
(1)
notify
patients
their
care,
(2)
educate
promote
trust,
(3)
meet
standards
informed
consent.
Additional
clarity
needed
guide
practices
respect
while
providing
meaningful
benefits
patients.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Jan. 4, 2024
ChatGPT
is
a
chatbot
based
on
large
language
model.
Its
application
possibilities
are
extensive,
and
it
freely
accessible
to
all
people,
including
psychotherapists
individuals
with
mental
illnesses.
Some
blog
posts
about
the
possible
use
of
as
psychotherapist
or
supplement
psychotherapy
already
exist.
Based
three
detailed
chats,
author
analyzed
chatbot's
responses
seeking
assistance,
patients
looking
for
support
between
sessions,
during
their
psychotherapists'
vacations,
people
suffering
from
illnesses
who
not
yet
in
psychotherapy.
The
results
suggest
that
offers
an
interesting
complement
easily
accessible,
good
(and
currently
free)
place
go
mental-health
problems
have
sought
professional
help
no
psychotherapeutic
experience.
information
is,
however,
one-sided,
any
future
regulation
AI
must
also
be
made
clear
proposals
only
insufficient
substitute,
but
bias
favors
certain
methods
while
even
mentioning
other
approaches
may
more
helpful
some
people.
Humans
may
have
evolved
to
be
"hyperactive
agency
detectors".
Upon
hearing
a
rustle
in
pile
of
leaves,
it
would
safer
assume
that
an
agent,
like
lion,
hides
beneath
(even
if
there
ultimately
nothing
there).
Can
this
evolutionary
cognitive
mechanism—and
related
mechanisms
anthropomorphism—explain
some
people's
contemporary
experience
with
using
chatbots
(e.g.,
ChatGPT,
Gemini)?
In
paper,
we
sketch
how
such
engender
the
seemingly
irresistible
anthropomorphism
large
language-based
chatbots.
We
then
explore
implications
within
educational
context.
Specifically,
argue
tendency
perceive
"mind
machine"
is
double-edged
sword
for
progress:
Though
can
facilitate
motivation
and
learning,
also
lead
students
trust—and
potentially
over-trust—content
generated
by
To
sure,
do
seem
recognize
LLM-generated
content
may,
at
times,
inaccurate.
argue,
however,
rise
towards
will
only
serve
further
camouflage
these
inaccuracies.
close
considering
research
turn
aiding
becoming
digitally
literate—avoiding
pitfalls
caused
perceiving
humanlike
mental
states
Journal of Medical Ethics,
Journal Year:
2022,
Volume and Issue:
49(8), P. 573 - 579
Published: Dec. 29, 2022
Researchers
are
studying
how
artificial
intelligence
(AI)
can
be
used
to
better
detect,
prognosticate
and
subgroup
diseases.
The
idea
that
AI
might
advance
medicine’s
understanding
of
biological
categories
psychiatric
disorders,
as
well
provide
treatments,
is
appealing
given
the
historical
challenges
with
prediction,
diagnosis
treatment
in
psychiatry.
Given
power
analyse
vast
amounts
information,
some
clinicians
may
feel
obligated
align
their
clinical
judgements
outputs
system.
However,
a
potential
epistemic
privileging
lead
unintended
consequences
could
negatively
affect
patient
treatment,
well-being
rights.
implications
also
relevant
precision
medicine,
digital
twin
technologies
predictive
analytics
generally.
We
propose
commitment
humility
help
promote
judicious
decision-making
at
interface
big
data
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(13), P. 7737 - 7737
Published: June 24, 2022
Emotional
disorders
are
the
most
common
mental
globally.
Psychological
treatments
have
been
found
to
be
useful
for
a
significant
number
of
cases,
but
up
40%
patients
do
not
respond
psychotherapy
as
expected.
Artificial
intelligence
(AI)
methods
might
enhance
by
providing
therapists
and
with
real-
or
close
real-time
recommendations
according
patient's
response
treatment.
The
goal
this
investigation
is
systematically
review
evidence
on
use
AI-based
outcomes
in
psychological
interventions
real-time.
search
included
studies
indexed
electronic
databases
Scopus,
Pubmed,
Web
Science,
Cochrane
Library.
terms
used
variations
words
"psychotherapy",
"artificial
intelligence",
"emotional
disorders".
From
85
full
texts
assessed,
only
10
met
our
eligibility
criteria.
In
these,
frequently
AI
technique
was
conversational
agents,
which
chatbots
based
software
that
can
accessed
online
computer
smartphone.
Overall,
reviewed
investigations
indicated
positive
consequences
using
reduce
clinical
symptomatology.
Additionally,
reported
high
satisfaction,
engagement,
retention
rates
when
implementing
Despite
potential
make
more
flexible
tailored
patients'
needs,
methodologically
robust
needed.
Frontiers in Psychiatry,
Journal Year:
2023,
Volume and Issue:
14
Published: June 1, 2023
Growing
demand
for
broadly
accessible
mental
health
care,
together
with
the
rapid
development
of
new
technologies,
trigger
discussions
about
feasibility
psychotherapeutic
interventions
based
on
interactions
Conversational
Artificial
Intelligence
(CAI).
Many
authors
argue
that
while
currently
available
CAI
can
be
a
useful
supplement
human-delivered
psychotherapy,
it
is
not
yet
capable
delivering
fully
fledged
psychotherapy
its
own.
The
goal
this
paper
to
investigate
what
are
most
important
obstacles
our
way
developing
systems
in
future.
To
end,
we
formulate
and
discuss
three
challenges
central
quest.
Firstly,
might
able
develop
effective
AI-based
unless
deepen
understanding
makes
effective.
Secondly,
assuming
requires
building
therapeutic
relationship,
clear
whether
delivered
by
non-human
agents.
Thirdly,
conducting
problem
too
complicated
narrow
AI,
i.e.,
AI
proficient
dealing
only
relatively
simple
well-delineated
tasks.
If
case,
should
expect
fully-fledged
until
so-called
"general"
or
"human-like"
developed.
While
believe
all
these
ultimately
overcome,
think
being
mindful
them
crucial
ensure
well-balanced
steady
progress
path
psychotherapy.
JMIR Mental Health,
Journal Year:
2024,
Volume and Issue:
11, P. e55988 - e55988
Published: March 8, 2024
Large
language
models
(LLMs)
hold
potential
for
mental
health
applications.
However,
their
opaque
alignment
processes
may
embed
biases
that
shape
problematic
perspectives.
Evaluating
the
values
embedded
within
LLMs
guide
decision-making
have
ethical
importance.
Schwartz's
theory
of
basic
(STBV)
provides
a
framework
quantifying
cultural
value
orientations
and
has
shown
utility
examining
in
contexts,
including
cultural,
diagnostic,
therapist-client
dynamics.