Bleary-eyed U.S. election officials turn to signature-verifying software
in mail-in surge
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[September 24, 2020]
By Paresh Dave and Andy Sullivan
OAKLAND, Calif./WASHINGTON (Reuters) - When
election officials in at least 29 U.S. counties face an expected
avalanche of mail-in ballots in the Nov. 3 presidential election due to
the coronavirus pandemic, they will not rely on eyes alone to verify
voters' signatures.
They will also use software to approve signatures and guard against
fraud, a Reuters survey found, a trend that voting technology experts
cautiously welcome. Parascript, a Colorado company that says it helps
banks identify check fraud, developed the technology.
The software could reduce the inconsistency and bias inherent when
humans decide whether the signature on a ballot envelope matches what
governments have on file, officials and voting rights advocates say.
But absent clear standards, officials have replaced one set of variables
with another in the at least eight states that have counties using the
software. Two of the states, Florida and Nevada, are considered swing
states where either Joe Biden, a Democrat, or President Donald Trump, a
Republican, could win.
The software's performance variability is visible in Colorado, where the
technology approves about 40% of signatures in Republican-leaning
Douglas County, 20% in Democratic Denver County, and 50% in the swing
county of Larimer, Reuters found. Colorado law requires that staff
review at least 2% of the software's approvals.
Two California counties audit all of the software's approvals, while
Oregon's Multnomah County initially double-checks everything and then a
few a day as counting continues. Pierce County, Washington, reviews at
minimum 3% of software approvals and also the ones passed with least
confidence.
AN ERROR IS A LOST VOTE
The counties emphasized that staff examined every signature that
software could not verify, meaning no ballot was tossed without human
review.
But election officials said they had not analyzed the software's
outcomes to determine whether it treats racial or other demographic
groups differently. The outcomes should be examined, as they can
influence human reviewers, nonpartisan election experts said.
"An error here is someone losing their chance to vote," said Michael
Herron, government professor at Dartmouth College.
The artificial intelligence software aims to automate validating a
voter's signature - a measure enforced in 33 states, at least eight of
which use software.
Nineteen states, including those eight, let voters appeal signature
rejections, which advocates contend younger voters and Black and
Hispanic voters are more likely to experience than others.
More than 175,000 absentee ballots did not count in the 2016
presidential election because of signature discrepancies, the top reason
for rejection. Voting advocates warn that number could surge this
election as millions more Americans vote by mail.
Signature mismatches negated 0.5% of Colorado's mail-in ballots in 2018,
federal data show. But Democratic-leaning Lake County rejected 2.39%,
nearly five times the statewide average. Four counties did not reject
any ballots for signature discrepancies.
CHARACTER STROKES
The shift to mail-in voting has increased the burden on election
officials even as the digital economy has decreased the emphasis on
careful signing of documents, prompting scrutiny on verification
methods.
Linton Mohammed, a forensic document examiner who testified in election
cases, described signatures as poor for voter authentication because of
the variance in them over time and inadequate training for some
reviewers.
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Workers wearing masks and separated by plexiglass inspect ballots at
the Thurston County Ballot Processing Center in Tumwater,
Washington, U.S. July 23, 2020. REUTERS/Lindsey Wasson
Parascript's software aims to address those concerns by running
black-and-white scans through seven algorithms. They study character
strokes, spacing and other attributes to score whether the signature
matches one on file.
The software allows officials in each of the 29 counties to set
their own minimum scores for approving signatures, a variable that
experts want studied.
The software, which debuted about a decade ago and can cost $7,000
annually, can process 1,000 signatures a minute, compared with two
to three by a worker.
At least seven counties adopted the technology this year, mostly to
meet social-distancing standards, Reuters found.
Proponents said it was reliable, saved time and allowed staff to
focus on problematic signatures. Only one official could identify a
slip-up: The software accepting "deceased" as a match for a voter
named Denise in Oregon.
"In the time I've been here, five elections, it has never failed an
audit," said Jack Twite, deputy of elections in Douglas County,
Colorado.
Parascript said results from its automated signature verification
software varied because voter turnout, ballot envelope designs,
scanning equipment and voter signature records differ by county and
election.
For instance, the signature approval rate for Adams County,
Colorado, jumped when it boxed the signature space on envelopes,
generating more readable images. Larimer's percentage fell as more
signatures on file came from motor vehicle records that were too
fuzzy for software analysis.
The lack of standardization has left room for debate, even as at
least 10 additional counties said they may adopt the software next
year.
Denver elections director Jocelyn Bucaro said other counties in
Colorado used the software too permissively and risked illegitimate
votes.
"We don't view that as a best practice," Bucaro said.
Angela Myers, clerk and recorder for Larimer, said the laborious
process demanded significant automation. "We love it," she said.
Portia Allen-Kyle, associate director at the nonpartisan group
Voting Rights Lab, said the public should be able to vet the
software to ensure it is fair for all voters.
"We have an opportunity to regulate automated signature verification
programs before they become even more embedded, unchecked, into our
electoral system," she said.
(Reporting by Paresh Dave and Andy Sullivan; Additional reporting by
Julia Harte and Simon Lewis; Editing by Greg Mitchell and Timothy
Gardner)
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