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I'd like to recognize Mr. Hyson, too.

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Please begin your opening statement.

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All right, Sherwin Sherwin, Murray, May,
Ranking Member Connerly, and distinguished

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members of the subcommittee, thank you
for the opportunity to testify today.

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I'd like to note that in addition
to serving as the department's

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Chief Information Officer secretary,
my work is also named me.

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Today is the first DHS Chief
Artificial Intelligence officer.

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I'd like to talk with you today
about three concrete use cases

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where DHS is already using AI to deliver
clear benefits for the American people

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and then share the comprehensive measures
we are taking to ensure

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that our use of AI is safe, responsible
and rights respecting.

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First, DHS is using AI to keep
dangerous drugs out of our country.

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Recently, a car drove north from Mexico
and approached

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the San Ysidro port of entry in San Diego,
California.

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In the past, the Customs and Border
Protection Officer that inspected

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that car would likely have had no reason
to give it extra scrutiny.

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But this time, one of our machine
learning models

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noticed a potentially suspicious pattern
in the vehicle's crossing history.

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After looking at the model's flag,
the officer decided to refer the car

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to secondary inspection,
where we discovered and seized nearly

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60 kilograms of fentanyl
and 16 kilograms of meth

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concealed in the vehicle's
rear quarter panels and gas tank.

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If not for this use of AI,
those drugs could be on our streets.

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Second, DHS is using

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AI to aid our law enforcement officers
in investigating heinous crimes.

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Last month, Homeland Security
investigations announced the completion

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of one of the most successful operations
ever against child sexual abuse online.

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Operation
Renewed Hope resulted in identifying 311

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previously unknown victims

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of sexual exploitation
and led to the rescue of several victims

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from active abuse
and the arrests of suspected perpetrators.

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This operation relied on the expertise
and dedication

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of our agents
and our partners domestically and abroad.

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But our agents had an extra tool
at their disposal.

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Machine
learning algorithms were used to enhance

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older images
and give investigators new leads.

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Through this use of AI,
we were able to turn formerly cold cases

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into rescues and arrests.

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Finally, DHS is using A.I.

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to make air travel easier and safer.

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TSA has started rolling out touchless
pre-check in select airports,

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a new optional way
of going through the airport,

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curb to gate
without ever taking out your wallet.

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Once you opt in, you can check your bag,
go through the security checkpoint

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and board your flight,
all with just a quick photo.

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This process and TSA is acceptance

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of mobile driver's licenses
in seven states and counting.

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Use thoroughly tested
AI powered algorithms to save time, reduce

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physical touchpoints, and increase
security by verifying identity more

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and more accurately.

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While I've

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highlighted these three examples
today, DHS will use A.I.

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to transform all parts of our operation

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from detecting and mitigating
cybersecurity vulnerabilities

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to enhancing maritime search
and rescue operations and far beyond, A.I.

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will provide smarter and timelier
information to our agents and officers

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to aid them in making decisions
and free them up

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from routine tasks
to focus on higher value work.

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As we move forward,
we will ensure that our use of A.I.

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is responsible and trustworthy,

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that it is rigorously tested
to be effective, that it safeguards

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privacy, civil rights and civil liberties
while avoiding inappropriate biases.

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And to the extent possible,
that is transparent and explainable

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to the people we serve.

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Last month, Secretary Mayorkas issued our
key principles for responsible air use.

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We are applying these principles
through the DHS A.I.

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Task, which I lead alongside our
Undersecretary for Science and Technology.

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By issuing comprehensive policies
on specific types of A.I.,

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as we did
just this week with the New Year,

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with new restrictions
on our use of facial recognition,

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we will work alongside our internal
and external oversight partners

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to include Congress and this subcommittee
as we work to implement Nist's A.I.

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Risk Management framework and remain

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fully compliant with evolving laws,
practices and policies.

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Thank you again
for the opportunity to testify today.

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I look forward to your questions.
Thank you. Mr. Hyson.

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I know votes have just been called.

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I'm going to before I are you concerned
that as an AI systems become more mature

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and complicated, that criminals
will have greater opportunity

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commit
heinous crimes like child exploitation?

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Congressman, we absolutely are concerned
there.

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However, we are also looking to harness
AI to combat those crimes.

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I shared earlier our work of Homeland
Security investigations and Operation

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Renewed Hope, which used AI to help
rescue victims from active abuse,

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as well as to arrest
suspected perpetrators.

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So as we are looking to better
defend the use of A.I.

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to commit these crimes, we are also
using it to defend against them.

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The protections have to be built
at the same time as, you know,

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all the fruits of what air can bring us,
you know, have to be there.

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We are most vulnerable, I believe.

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Are are those most likely to be harmed by?

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You know, a lot of the CIA technology.

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Now, expand the scope of this question
and include America's adversaries,

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unleashing increasingly powerful
cyber attacks against us critical systems.

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What is DHS doing in preparation
to respond with the use of A.I.

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in those respects? Absolutely.

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We are and have been for

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the entire administration,
concerned about adversarial use of A.I.

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against federal
and critical infrastructure networks.

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Secretary, my work is to establish
our Artificial Intelligence Task Force,

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which I co-lead and charged us
with looking at the use of A.I.

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to secure critical infrastructure
as one of our critical objectives.

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We are working with the Cybersecurity
and Infrastructure Security Agency

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to look at how we can effectively partner
with critical infrastructure

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organizations on safeguarding
their uses of AI and strengthening

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their cybersecurity practices writ large
to defend against evolving threats.

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Very Americans.

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Mr. Hayes.

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And briefly,
you mentioned that are recognized

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patterns in a crossing at the border.

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How would that relate to the instinct

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you believe that could dull
the human instincts

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in judgment, in law enforcement
and law enforcement

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operations in, similar to the way that,

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like many engineers, now
cannot use a slide rule?

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We don't remember phone numbers anymore.

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They're not contact data.

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Most Americans cannot read maps
and operate a compass

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anymore
or use chips that kids in school cannot.

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They're not taught cursive script.

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And yet all our historical documents
are written in cursive script.

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You understand where I'm going with this?

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Please briefly, if the chairman will allow
address that as it would

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relate to the instincts of law enforcement

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to witness me, answer the question,
Congressman, thank you.

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I certainly acknowledge the risk

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and want to assure you
that we are leveraging A.I.

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as decision support
for our law enforcement officers, but

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that ultimately

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our officers are the ones responsible
for making law enforcement decisions.

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I also see tremendous potential
to use A.I.

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to remove repetitive paperwork
and administrative tasks

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that our officers have to do that
they would tell me value

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and they tell me dulls their focus
from their security mission.