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3 November 2018 | NewScientist | 3
THE news that gravitational waves
had been detected reverberated
beyond the halls of physics.
Confirming a long-standing
prediction of Einstein’s general
theory of relativity, the discovery
presaged a new era in cosmology.
Then came the doubts. No
experiment could reproduce the
claimed signal, and theorists
began to question whether Joseph
Weber’s massive aluminium
bars, set up at the University of
Maryland, could really have been
moved by ripples in space-time.
The theory and experimental
practice of gravitational-wave
detection have advanced
immeasurably since these events
of the summer of 1969, and few
would bank on history repeating
itself. Yet Weber’s debunked claim
is a reminder of how bias and
wishful thinking can easily colour
the best of scientific minds.
Now, as we report this week,
questions have been raised
about the quality of the analysis
behind the LIGO collaboration’s
celebrated 2015 gravitational
wave detection (see page 28).
The dissenting researchers are
credible and their own analysis
is peer-reviewed. It should not
be dismissed out of hand.
To be clear: few people doubt
gravitational waves are out there
or that LIGO is our best bet to find
them. Its peerless instruments
are the result of decades of
expert development to shut out
extraneous noise that would
confound this delicate detection.
But no scientific discovery
should be beyond scrutiny –
no matter how advanced the
technology that made it, how big
and expert the team behind it, or
how good the internal checks and
balances they employ.
The Weber controversy, which
simmered on until his death in
2000, had an upside: it spurred
the development of superior
detection technologies that
underlie LIGO today. Robust, open
debate is science’s lifeblood. ■
Beyond question?
The LIGO collaboration must fully respond to criticism of its methods
HUMANS are terrible at spotting
liars, so it is no wonder that we
have long sought help from
technology. Now border forces
are interested in a tool that uses
artificial intelligence to detect
liars (see page 5).
It will be trialled at some land
borders into the European Union
between November and May. The
hope is it could detect anyone
coming to a country with plans
to commit a crime or stay longer
than allowed.
However, the technology isn’t
good enough yet to be rolled out,
as those running the project
concede. Worryingly, past trends
with the use of tech suggests this
may not matter for many.
Polygraph-based lie detector
tests are a case in point. Despite
their accuracy rates being poor,
they are still used around the
world, including in some
situations by police in the UK and
the US. Another example is police
use of face-recognition software,
despite reports showing it makes
a significant number of mistakes.
The new tool will only be
advisory and not make decisions
on its own. But history suggests
people will give its advice too
much weight, trusting it when
they shouldn’t. ■
AI turns to border control
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