Legislation
and
ethical
guidelines
around
the
globe
call
for
effective
human
oversight
of
use
AI-based
systems
in
high-risk
contexts
–
that
is
reduces
risks
associated
with
systems.
Such
may
relate
to
imperfect
accuracy
(e.g.,
incorrect
classifications)
or
concerns
unfairness
outputs).
Given
significant
role
expected
play
operation
systems,
it
crucial
gain
a
better
understanding
conditions
oversight.
In
this
paper,
we
build
on
literature
management
automation
show
reliable
detection
errors
other
deviant
behavior
these
thus
We
then
propose
Signal
Detection
Theory
(SDT)
offers
promising
framework
what
affects
people’s
sensitivity
(i.e.,
how
well
they
are
able
detect
errors)
response
bias
tendency
report
given
perceived
evidence
an
error)
detecting
errors.
To
demonstrate
broad
applicability
SDT
perspective
study
error
when
overseeing
explicate
specifics
case
detection.
Additionally,
factors
(task-,
system-,
person-related
factors)
affect
humans
tasked
Finally,
discuss
implications
future
research
directions
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(31)
Published: July 25, 2024
Recollecting
painful
or
traumatic
experiences
can
be
deeply
troubling.
Sleep
may
offer
an
opportunity
to
reduce
such
suffering.
We
developed
a
procedure
weaken
older
aversive
memories
by
reactivating
newer
positive
during
sleep.
Participants
viewed
48
nonsense
words
each
paired
with
unique
image,
followed
overnight
In
the
next
evening,
participants
learned
associations
between
half
of
and
additional
images,
creating
interference.
During
following
non-rapid-eye-movement
sleep,
auditory
memory
cues
were
unobtrusively
delivered.
Upon
waking,
presenting
associated
both
images
as
opposed
not
cues,
weakened
recall
while
increasing
intrusions.
Substantiating
these
benefits,
computational
modeling
revealed
that
cueing
facilitated
evidence
accumulation
toward
affect
judgments.
Moreover,
cue-elicited
theta
brain
rhythms
sleep
predominantly
predicted
memories.
A
noninvasive
intervention
thus
modify
recollection
affective
responses.
Journal of Research on Adolescence,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 6, 2024
Abstract
Adolescent
cognitive
and
behavioral
regulation
is
influenced
by
multidimensional
multidirectional
processes
within
across
biological
contextual
systems
that
shift
throughout
development.
Key
among
these
influences
are
distal
such
as
early
life
socioeconomic
position
(SEP),
proximal
pubertal
development,
but
questions
remain
concerning
how
links
between
SEP,
accumulate
unfold
over
adolescence.
In
the
current
study,
in
line
with
Dr.
John
Schulenberg's
foundational
work,
direct
associations
puberty,
adolescent
were
examined;
then
timing
tempo
considered
moderators
mediators
of
SEP
regulation.
Data
drawn
from
NICHD
Study
Early
Child
Care
Youth
Development,
a
longitudinal
study
970
youth
(52%
male;
80%
White,
13%
Black,
7%
another
race/ethnicity).
Cognitive
was
measured
using
assessments
working
memory,
planning,
risky
decision‐making,
impulse
control
at
age
15.
included
maternal
education
family
income‐to‐needs
averaged
birth
to
54
months
old;
estimates
derived
logistic
growth
curve
models
9
directly
associated
Pubertal
development
tended
moderate
those
links,
rarely
mediated
them.
Specifically,
disadvantage
along
earlier
or
faster
be
worse
Overall,
findings
suggest
may
exacerbate
existing
environmental
constraints.
Journal of Neuroscience,
Journal Year:
2023,
Volume and Issue:
43(37), P. 6401 - 6414
Published: July 28, 2023
Older
adults
exposed
to
enriched
environments
(EEs)
maintain
relatively
higher
levels
of
cognitive
function,
even
in
the
face
compromised
markers
brain
health.
Response
speed
(RS)
is
often
used
as
a
simple
proxy
measure
preservation
global
function
older
adults.
However,
it
unknown
which
specific
selection,
decision,
and/or
motor
processes
provide
most
indices
neurocognitive
Here,
using
decision
task
with
electroencephalography
(EEG),
we
found
that
efficiency
an
individual
accumulates
sensory
evidence
was
critical
determinant
extent
RS
preserved
(63%
female,
37%
male).
Moreover,
mitigating
influence
EE
on
age-related
declines
pronounced
when
accumulation
rates
were
shallowest.
These
results
suggest
phenomenon
reserve,
whereby
high
individuals
can
better
tolerate
suboptimal
health
facilitate
not
just
applicable
neuroanatomical
indicators
aging
but
be
observed
neurophysiology.
Our
EEG
metrics
may
index
vulnerability
brain.Significance
Statement
closely
linked
trajectories
aging.
by
recording
activity
while
perform
computer
task,
identify
neural
metric
response
speed.
greater
and
social
stimulation
throughout
lifetime
could
faster
responding,
this
impaired.
This
work
suggests
useful
technique
for
interrogating
how
benefits
Journal of Neuroscience,
Journal Year:
2023,
Volume and Issue:
43(45), P. 7547 - 7553
Published: Nov. 8, 2023
Computational
approaches
hold
great
promise
for
identifying
novel
treatment
targets
and
creating
translational
therapeutics
substance
use
disorders.
From
circuitries
underlying
decision-making
to
computationally
derived
neural
markers
of
drug-cue
reactivity,
this
review
is
a
summary
the
data
presented
at
our
2023
Society
Neuroscience
Mini-Symposium.
Here,
we
highlight
data-
hypothesis-driven
computational
that
recently
afforded
advancements
in
addiction
learning
neuroscience.
First,
discuss
value
algorithmic
modeling
approaches,
which
integrate
behavioral,
neural,
cognitive
outputs
refine
hypothesis
testing.
Then,
advantages
data-driven
dimensionality
reduction
machine
methods
uncovering
predictor
variables
elucidating
relationships
high-dimensional
data.
Overall,
highlights
recent
breakthroughs
mapping,
model-based
analysis
behavior/risky
decision-making,
patterns
drug
taking,
relapse,
neuromarker
discovery,
showcases
benefits
techniques,
across
both
preclinical
clinical
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 7, 2023
Abstract
Recollecting
painful
or
traumatic
experiences
can
be
deeply
troubling.
Sleep
may
offer
an
opportunity
to
reduce
such
suffering.
We
developed
a
procedure
weaken
older
aversive
memories
by
reactivating
newer
positive
during
sleep.
Participants
viewed
48
nonsense
words
each
paired
with
unique
image,
followed
overnight
In
the
next
evening,
participants
learned
associations
between
half
of
and
additional
images,
creating
interference.
During
following
non-rapid-eye-movement
sleep,
auditory
memory
cues
were
unobtrusively
delivered.
Upon
waking,
presenting
associated
both
images
as
opposed
not
cues,
weakened
recall
while
increasing
intrusions.
Substantiating
these
benefits,
computational
modeling
revealed
that
cueing
facilitated
evidence
accumulation
toward
affect
judgments.
Moreover,
cue-elicited
theta
brain
rhythms
sleep
predominantly
predicted
memories.
A
noninvasive
intervention
thus
modify
recollection
affective
responses.
Significance
Statement
Not
all
are
welcome:
involuntary
intrusions
debilitating.
Prior
research
shows
benefits
psychological
health,
reactivation
externally
triggered
human
Here,
we
introduced
novel
sleep-based
updating
found
only
memories,
but
also
increased
intrusion
enhanced
Our
findings
open
new
avenues
for
weakening
Modeling and simulation in science, engineering & technology,
Journal Year:
2023,
Volume and Issue:
unknown, P. 103 - 141
Published: Jan. 1, 2023
A
better
understanding
of
social
human
dynamics
would
be
a
powerful
tool
to
improve
nearly
any
computational
endeavour
that
involves
interactions.
This
includes
intelligent
environments
featuring,
for
instance,
efficient
illumination
systems,
smart
evacuation
signalling
transportation
crowd
control,
or
disaster
response.
Moreover,
given
the
population
has
significantly
grown
up
in
number
and
spread
across
planet,
capacity
predict
behaviours
will
help
demonstrate
special
behavioural
forms
observed
when
masses
people
gather
together
make
crowds.
Additionally,
are
characterized
by
complex
psychological
sociobiological
behaviour.
The
contributions
factors
need
accounted
obtain
more
reliable
models.
Many
models
have
been
proposed
describe
group
different
scenarios.
However,
due
complexity
such
systems
amplified
above
factors,
decision-making
with
multiple
choices
not
fully
scrutinized.
In
this
chapter,
we
consider
probabilistic
drift-diffusion
Bayesian
inference
frameworks
address
issue,
assisting
decision-making.
We
provide
details
models,
as
well
representative
numerical
examples,
discuss
process
example
escape
route
phenomena
further
developing
frameworks.
latter
context,
also
give
review
recent
developments
collective
its
applications
brain
network
Furthermore,
illustrative
examples
role
neuromodulation,
reinforcement
learning
processes.
Finally,
call
attention
existing
challenges,
open
problems,
promising
approaches
studying
decision-making,
including
those
arising
from
nonequilibrium
considerations
associated
Possibility Studies & Society,
Journal Year:
2024,
Volume and Issue:
2(3), P. 318 - 331
Published: Feb. 29, 2024
It
is
often
thought
that
an
agent
may
be
held
morally
responsible
for
bringing
about
a
negative
outcome
only
if
they
could
have
done
otherwise.
Inspired
by
previous
research
linking
moral
judgment
to
free
will
ascriptions
and
representations
of
possibility,
we
probe
the
reverse
link:
Does
learning
undesirable
make
preferable
alternatives
appear
more
possible?
We
find
modest
evidence
this
case.
In
preregistered
experiment,
presented
317
participants
with
animated
footage
traffic
accident
in
which
two
bystanders
fail
intervene
as
third
person
gets
run
over
bus,
manipulated
whether
victim
was
evil,
virtuous,
or
neutral.
Judging
from
same
visual
input,
people
indicate
saving
evil
would
been
slightly
less
possible
than
virtuous
neutral
victim,
arriving
at
conclusion
it
demanded
time.
Using
drift-diffusion
modeling
better
understand
underlying
cognitive
processes,
found
were
biased
against
counterfactual
attempts
save
victim’s
life,
but
then
gathered
toward
their
decisions
rate
regardless
morality.
Frontiers in Human Neuroscience,
Journal Year:
2024,
Volume and Issue:
18
Published: Aug. 27, 2024
Introduction
In
real-life
scenarios,
individuals
frequently
engage
in
tasks
that
involve
searching
for
one
of
the
distinct
items
stored
memory.
This
combined
process
visual
search
and
memory
is
known
as
hybrid
search.
To
date,
most
studies
have
been
restricted
to
average
observers
looking
previously
well-memorized
targets
blank
backgrounds.
Methods
We
investigated
effects
context
role
by
modifying
task’s
memorization
phase
occur
all-new
single
trials.
addition,
we
aimed
assess
how
individual
differences
working
capacity
inhibitory
control
influence
performance
during
an
online
experiment,
110
participants
searched
potential
images
with
without
context.
A
change
detection
go/no-go
task
were
also
performed
measure
control,
respectively.
Results
show
that,
target
present
trials,
main
hallmarks
remain
present,
a
linear
relationship
between
reaction
time
set
size
logarithmic
size.
These
behavioral
results
can
be
reproduced
using
simple
drift-diffusion
model.
Finally,
did
not
predict
measures.
Inhibitory
when
relationships
significant,
could
account
only
small
portion
variability
data.
Discussion
study
provides
insights
into
on
efficiency
termination.