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Top story
Delphi: a first
step toward
machine morality
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In November AI2
released an
interactive demo of
Delphi, an AI model
capable of
suggesting moral
judgments about any
situation a user
describes (for
example,
mowing the lawn
at 3am). Delphi is an
early investigation
in the nascent field
of machine ethics, a
line of research
aimed at making the
AI systems that
interact with humans
more ethically
informed, socially
aware, and
culturally
inclusive.
Delphi received
millions of user
inputs in its first
few weeks, sparking
wide discussion
about the promise
and the limitations
of research into
ethical models. Read
more about Delphi in
The New York
Times
and get a deeper
look into the
process and lessons
of Delphi on the
AI2 Blog.
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Protecting
cougars in the
PNW
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Pumas (or cougars,
as they're locally
known) are a
critical indicator
of the health of the
Olympic peninsula's
rainforests. As a
key apex predator,
tracking their
behavior tells
conservationists
whether or not this
important ecosystem
is healthy — but
keeping an eye on
the puma population
and following their
migration patterns
hasn't always been
easy. Thankfully,
AI2's
EarthRanger
project has helped
the team at
Panthera
access more tracking
data than ever
before. Learn more
about the incredible
work these teams are
doing in this
broadcast story
from CBS
Mornings.
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Semantic
Scholar's API
offers new data
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Semantic Scholar,
the AI-powered
research tool for
scientific
literature, released
new API
functionality this
week. API users can
now
access the
TLDRs
(AI-generated
single-sentence
paper summaries) of
over 58 million
papers in the fields
of computer science
and biomedicine,
allowing users to
more quickly
determine the
relevancy of a paper
in their work.
Additionally, three
new author fields
now
accessible
in the Semantic
Scholar API let
users retrieve how
many papers a given
author has
published, and how
many total citations
those papers have
accrued.
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Want
to
learn
more
about
AI2's
work
or
connect
with
an
expert?
Reach
us
at press@allenai.org.
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Featured
AI2er:
Bailey
Kuehl
Bailey
Kuehl
is a
Data
Science
Analyst
on
the
Semantic
Scholar
team,
and
in
this
interview,
she
shares
work
highlights
over
the
last
15
months
and
insights
into
what's
to
come.
Learn
what
it's
like
to
be a
part
of
this
cutting-edge
team
—
and
what
Bailey's
favorite
PNW
activities
are
— at
the
AI2
blog.
Learn
more ➞
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How
NLP
can
improve
vaccine
confidence
In this
featured
article
from the
pnw.ai
hub, two
professors
at
Columbia
University
aim to
demonstrate
how AI
can
reduce
misinformation
and
improve
messaging
to
increase
public
confidence
in
COVID-19
vaccinations.
Learn
more ➞
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