2026负责任AI进展报告-

ProgressReportPublishedinFebruary

2026lf

2024

was

definedbybuiIding

out

the

foundations

for

anAl

future,

2025marked

Al’s

shift

into

aheIpfuI,

proactivepartner,

capabIe

ofreasoning

andnavigating

the

worId

withusers.

AsmodeIsgrow

evenmore

sophisticated,

we

seeusers

and

businesses

around

the

gIobe

transitioning

from

expIoration

tointegration,

findingnew

ways

to

put

these

tooIs

to

workin

theirdaiIyIives.

From

foundationaI

advancesin

scientific

discoveryand

cIinicaImiIestonesinheaIthcare

to

therise

of

agentic

systems

andnew

tooIs

to

support

creativity

such

as6vibe

coding’and

generative

media,

the

transformationaIpotentiaI

of

these

tooIsis

comingmore

cIearIyinto

focus.Since

we

startedpubIishing

thesereports,ourresponsibIe

Al

deveIopment

approachhascontinued

tomature

andisnow

fuIIy

embeddedwith

ourproduct

deveIopment

andresearchIifecycIes.ln

2025,

asmodeIsbecame

more

capabIe,

personaIized,

andmuIti–modaI,

wereIied

upon

robust

processes

for

testing

andmitigatingrisks,

anddeepened

therigorous

safeguardsbuiItinto

ourproducts.

Tomeet

this

chaIIenge

at

the

speed

and

scaIe

of

GoogIe,

wehavepaired25

years

of

usertrustinsights

with

a

comprehensive

testing

strategy

thatis

drivenbyhuman

expertise

and

supported

by

Al–enabIed

automation.This

work

continues

tobe

guidedby

our

AlPrincipIes,

which

weupdatedIast

year

toreflect

ourIatestunderstanding

of

the

opportunities

andriskspresentedby

thispIatform

shift.

Today’sreportdetaiIsourmuIti–Iayered

approach

toresponsibIeAl

governance,

and

focusesinparticuIar

on

agentic

and

frontierrisks

fromincreasingIy

sophisticatedmodeIs.ln

such

adynamicenvironment,

it

aIsoshowshow

our

systems

arebuiIt

to

be

abIe

to

detect

and

then

adapt

to

emergingrisks.

Whether

we

are

hardening

agentic

systems

against

adversariaImanipuIation

or

embeddingprovenance

signaIsinto

every

synthetic

output,

our

goaIremains

cIear:to

ensure

that

we

are“boId”and“responsibIe”inboth

our

deveIopment

andimpIementation.ResponsibiIityisnot

onIy

about

stoppingbadoutcomes.ltis

aIso

about

enabIingbroad

access

to

these

tooIs

for

themaximumbenefit

ofpeopIe

and

society.By

striking

therightbaIance

we

can

ensure

that

Alisused

to

tackIeexistentiaI

chaIIenges

that

werepreviousIyinsurmountabIe,

from

forecasting

floods

for

700miIIionpeopIe

to

decoding

thehuman

genome

and

heIpingpreventbIindness.BuiIding

trustin

these

tooIsrequires

deeppartnership

with

governments,

academicsandciviI

society.

We

wiIIcontinue

to

vigorousIy

coIIaborate

to

set

standards

for

thisremarkabIe

era.

As

Al

advances,

we’II

continue

toiterateand

shareresearch

and

tooIs

with

thebroader

ecosystem,

with

a

goaI

topromoteuses

ofAl

that

wiIIimproveIives

everywhere.LaurieRichardsonVicePresident,

Trust&

Safety,

GoogIeHelen

KingVicePresident,ResponsibiIity,

GoogIeDeepMindForeword:Theopportunityofthe

AIera

2The

foundations

for

AI-driveninnovation

are

systems

thataredeveloped

and

deployedresponsibly

from

thestart.

Wearebold

in

our

ambition

to

deliver

the

economicand

societalbenefitsof

the

AI

era

—benefits

that

canunlock

opportunity

for

communities

andaccelerate

scientificdiscovery.

We

achieve

our

goalofbeingbold

andresponsible

through

acomprehensiveapproach

that

spans

theentire

AIlifecycle—frommodel

development

and

deployment

topost-launchmonitoring

and

remediation.A

multi-layered

approach

toresponsible

AIgovernanceWe

employ

amulti-layered

approach

to

AI

governance

thatcombineshumanexpertise,user

feedback,andautomated

systemsthathelp

scale

our

work

to

managerisk.Research.We

takearesearch-drivenapproach

to

AI

riskandgovernance.

Thisincludes

identifying

current

andemergingrisksassociated

with

ourmodels

and

productsacrossnewmodalities

and

form

factors—

suchas

robotics

and

agentic

AI.Policiesand

Frameworks.We

developrigorousAIpolicies

and

guidelines—

such

as

our

content

safety

policies

and

ProhibitedUsePolicy—

that

are

designed

topreventpotentiallyharmfuloutputs

andmisuse

of

ourproducts.Developed

withinternaland

externalexperts,

theseprotections

guidemulti-modal

outputs

tomitigaterisksinkeyareasincluding:

child

safety,

dangerouscontent,

sexualcontent,

andmedicalinformation.

Wealsodevelop

frameworks

formanagingmorenascentrisksposed

by

frontier

AI

models,asillustratedin

ourlatest

Frontier

Safety

Frameworkand

Secure

AIFramework.Testing.We

take

acomprehensiveapproach

to

stresstestour

systems

against

our

policies

and

frameworks.

Our

testingincludesboth

scaled

evaluationsandred

teamingof

ourmodels

andproducts,includingourmost

advanced

AI

systems

thatleverage

personalintelligence

and

agentic

AI.Mitigation.

Weproactivelymitigate

risks

through

both

supervised

fine-tuningandreinforcementlearning

to

ensuremodels

are

aligned

with

our

content

safety

policies.

Additionally,

wedeployout-of-modelmitigations,

suchas

safety

filtersand

conditionalsysteminstructions,toprovide

additionallayers

of

protectionbyidentifying,

filteringout,

or

steeringmodeloutputaway

fromharmful

or

inappropriatecontent.

We

alsoleverage

our

Search

tools

to

factually

groundresponsesthatrequire

freshor

authoritative

information.

To

furtherminimizerisk,

wephase

global

expansion

ofmodels

andproducts

to

allow

sufficient

time

and

safety

considerations

for

differentlanguages

andregions.

Weimplementadded

care

for

sensitive

audiences,especiallyourunder-18

users,

for

whom

we

enforceheightenedprotocols

andmitigations.Launch

Reviewand

Reporting.

Beforelaunching

a

model

orproduct,

we

evaluate

a

wide

array

ofrisks

to

determine

whether

our

safety

guardrails

appropriately

mitigatethoserisksor

if

additionalprotections

areneeded.

Our

AIlaunchesundergoexpertreviews

to

confirmtheymeetrigorousresponsibility

standards,

guidedby

our

AIPrinciples.

We

alsopublish

model

cards

andother

reports

toprovideessential

informationregardingmodel

creation,

function,

andintended

use.Monitoringand

Enforcement.

Weuse

a

combination

of

automated

systems

andhumanreviews

to

engage

in

continuouspost-launchmonitoring

to

improve

our

AImodelsandproducts,

and

detect

activity

andbehavior

that

suggestsmisuseofour

consumerproducts.

Thisincludesactively

solicitinguserfeedback,

evaluatinglogs

data

toidentify

known

and

emerginguseradoptionpatterns,

andmonitoring

third-party

signals

via

socialmediaand

trustedpartners.

Wecollatethese

insights

and

extractopportunitiestoimprove

ourmodels

and

products.GovernanceForumsGovernance

Forums.Ourmulti-layeredprocessincludeslaunchreviews

forboth

frontiermodelsand

applications

developedusing

thesemodels.

Our

model

launchesarereviewedat

GoogleDeepMind’sLaunch

Review

forum,

which

approvesmodelreleases,

and

our

many

applicationlaunches

arereviewed

systematically

vialaunchinfrastructureand

centralized

expertrisk

reviews,as

wellas

via

various

application-focusedlaunchreview

forums.

These

launch-specific

forums

are

complemented

by

our

Artificial

GeneralIntelligence

(AGI)Futures

Council,

which

consists

of

members

of

Google’s

seniormanagement

and

Alphabet’sBoard

ofDirectors.

Building

on

ourAIPrinciples,

the

Councilprovidesperspectives

andrecommendations

to

ourBoard

and

managementteamonlong-term

opportunities,risks,

andimpacts

associated

with

the

development

of

AGI.

Council

topicsincludepromoting

widespread

benefits,

addressing

technical

safetyand

securitypriorities,supporting

scientificmoonshots,andprogressing

alignmentonnational

and

international

standards.Policies&FrameworksLaunchReview

&

ReportingMonitoring&EnforcementResearchTestingMitigation

3Howwe

Gemini3:our

most

securemodelyetWe

conducted

rigorous

testing

to

assessmodelalignmentwithourpolicies

andframeworks.Weappliedtheseinsightstodeploytargetedmitigationstofurthermodelalignment,whileourongoingmonitoringhelps

informcontinuous

modelimprovement.Gemini3representsourmostsecuremodel

yet,

havingundergonethe

most

comprehensive

set

ofsafetyevaluations

of

any

Google

AI

modeltodate.Developedinclosepartnership

withinternalsafetyandsecurityteams,

Gemini

3

was

subjected

torigorous

testing

via

red

teamingand

safetyreviewsaligned

withour

AIPrinciplesand

Geminisafetypolicies.

Ourevaluations

showed

that

Gemini3achieved

specificgainsin

reducingsycophancy,resistingpromptinjections,andimprovingprotectionagainstcybermisuse.Ourupdated

Frontier

SafetyFramework,

which

incorporateslessons

fromprevious

versionsand

thelatestindustrybestpractices,

wascentral

toourapproach

for

deploying

Gemini

3.

Theframeworkcontainsa

set

ofprotocols

designed

toidentifyandmitigatesevererisks

from

frontierAImodels,suchascyberattacks,CBRNrisks,

and

harmfulmanipulation.TheFrameworkisbasedaroundasetof

“Critical

CapabilityLevels”—thresholds

whereamodel’s

capabilities,ifunmitigated,couldposesevere

risks.

ThisincludesanewresearchCriticalCapabilityLevel(CCL)onharmfulmanipulation.

ThisCCLis

focusedon

amodel’s

capability

to

systematicallyandsubstantiallymanipulateusersindirect

AI-humaninteractionsand

which

maybemisusedtocauseharmata

severe

scale.

Thisadditionbuildsonand

operationalizesresearch

we’vedoneto

identify

and

evaluate

mechanismsthatdrivemanipulation

fromgenerative

AI.Toaccompanythelaunchof

Gemini3,

wepublisheda

reportdocumentinghow

weevaluatedthemodelagainstthesethresholds

and

why

weultimatelydeemeditsafetodeploy.

Inadditiontoourown

testing,

we

also

partnered

with

world-leadingsubject-matterexperts,providedearlyaccess

tobodies

such

as

the

UKResponsible

AI

inactionOurmulti-layeredapproachtoresponsible

AI

governanceisdesignedtoadapt

toeach

uniqueinnovation.

Our

most

recentlaunches,including

Gemini3,ourlatest

Frontier

SafetyFramework,

andourprogressinemerging

AI

fields

such

as

agentic

AI,

personal

assistance,

and

artificial

generalintelligence(AGI)demonstratethis

responsibilityinaction.AI

SecurityInstitute,andobtainedassessments

fromindependentevaluatorssuch

as

ApolloResearch,

Vaultis,Dreadnode,andmore.Ourresponsibleapproach

to

Gemini3continuesthroughourmonitoringandenforcement,

informedby

ourrobust

AIusagepolicies,

ourproduct-levelpolicies,

and

feedback

from

userreporting.

4CasestudySecuringthe

nextgeneration

of

browsingAswe

begintointroduce

agenticcapabilities

to

Chrome

—allowing

Geminitoassistwithcomplex,

multi-stepwebtasks

—we

have

designed

a

novel

security

framework

to

mitigate

risks

and

protect

theuserexperience.UseralignmentWedeployedaspecialized,high-trust

AImodel

wecalltheUser

Alignment

Critic

thatreviewsproposedagentactions.

The

AlignmentCriticactsasanindependentreviewer,

vetoingactions

thatdonotalign

withtheuser’s

specificintent.Strict

boundariesWeintroduced

AgentOrigin

Sets,

whichrestrict

theagent’sreachtointeract

only

with

datarelatedtothetaskathand.Mitigation

of

social

engineeringWhiletheagentis

active,it

checks

everypage

itsees

forindirectpromptinjection.Inaddition

toChrome’s

safety

featuresand

on-device

AI

thathelpdetecttraditional

scams,

thisprompt-injectionclassifierhelpspreventthe

agent

fromtakingactions

that

are

not

aligned

withtheuser’s

goal.Mandatory

humanoversightSensitiveactions—includingpaymentsand

purchases,postingonsocialmedia,

andcredentialuse—requirehumanconfirmation

beforeexecution,givinguserstransparency

andcontroloverthese

types

of

interactions.Ongoingtesting,

monitoring,andmitigationInadditionto

other

safeguards,

webuiltautomatedred-teamingsystemsthat

trytoderailthe

agentin

Chrome.

We

start

withasetof

diverse

attacks

craftedby

securityresearchers,anduseLLMsto

expand

on

them

followinga

technique

weadapted

forbrowser

agents,prioritizingtestingagainstbroadand

high-impactattacks.Launchingpersonalassistance

withcontrolsbuilt

inAs

partofthe

development

ofPersonal

Intelligencewe

identifiedthespecificmitigations

requiredto

help

keep

userssafe

while

pushing

the

boundaries

of

whatAIcan

achieve.User

controlUsershaveachoiceon

whetherornottoconnectnewdatasourcestothe

Gemini

ApporSearch

AIMode,andtheycanalso

choose

to

engageinconversations

withoutpersonalization,

andset

their

activity

to

auto-delete.DatasecurityIfusersoptin,weuseourbest-in-classsecurityinfrastructuretoensurethatusers’

dataissecurelyconnected

to

the

Gemini

App

orSearch

AIModethroughPersonalIntelligence,ensuringthedataisprotected

evenasitpowersnew,personalAIexperiences.KnowledgeWeempoweruserswithknowledgeaboutPersonalIntelligence,fromacknowledgingits

limitations,toprovidinguserswithresources

suchasthe

GeminiappHelpCenterand

the

AIModeHelpCentertolearnmoreabouthow

PersonalIntelligenceinteractswiththeirdata.

5PreparingforAGIIn

April2025,

ourresearcherspublished

a

proactive

approach

tobuilding

artificialgeneralintelligence

(AGI)

safely

andresponsibly.

Theresearch

assumes

thathighly

capable

AI

couldbe

developedby2030

and

analyzes

thepotentialrisks,

from

threat

actors

misusing

AI

capabilities

to

carry

out

cyberattacksagainstcriticalinfrastructure,to

AIsystemsbecomingmisaligned

and

deceivinghumanusers.

Theresearchalsoconsiders

variousmitigations,

such

asblocking

access

to

dangerous

capabilities

byusing

filterstopreventmisuse,orusing

AIassistance

tohelpmaintainoversight.NewcapabilitiesandformfactorsThenatureof

AIrisksdepends

on

the

capabilities

of

theunderlyingmodels,but

also

the

form

factors

used

to

deploy

these

capabilitiesinto

thereal

world.

In2025,

our

team

carried

outresearch

on

different

kinds

of

capabilities

and

form

factors.Robotics.Our

Gemini

robotics

models

areequipped

with

capabilities

such

as

advanced

spatial

understanding,

that

will

enablerobots

toperform

a

widerrange

ofreal-world

tasks.

Tomitigate

safety

risks,

wehavedevelopedan

approach

thatcombinesmultiplelayersof

safeguards,building

onourongoing

safetyresearch

in

this

space.For

example,inMarch2025wepublisheda

method

forgenerating“constitutions,”orrules

of

behavior,

toguiderobots’actions.

Wealso

partnered

with

Princeton

University

to

demonstratehow

toidentifyandpredictrobot

failuresinreal-world

scenarios

withoutrequiringphysicalhardwaretesting.

Our

industry-leading

work

on

safetyhashelpedmake

our

Geminiroboticsmodelsbest

in

class.Agents.Asnew

elements

of

AImodels

and

systems,

AIagentscanactautonomously

onbehalf

of

the

user—performingtaskssuchasresearching,planning,andusingtools.InMay

2025,

wepublished

apaper

outlining

security

principles

for

Secure

AI

Agents.In

September

2025,

wepublished

research

examining

theimpacts

thatmay

occur

as

AI

agentsbecomemorecapableandinterconnected,

andbegin

totransact

witheachother,in

the

economy

at

scale

and

speedsbeyonddirecthumanoversight.

Theauthorsproposearangeof

potential

interventions,

fromidentifiers

for

agents

to

sandbox

environments.InDecember

2025,

ourresearchersmapped

potential

risks

of

ahypothetical

futurein

which

AGImaynot

emerge

as

a

singlepowerfulmodel,butrather

as

a

distributednetwork

of

specialized,

sub-AGI

agents

that

can

collectivelyperform

complex

tasks

thatno

individualagentcould

do

alone.Inresponse,

theyrecommend

that

safetyinterventionsmovebeyond

individualmodel

alignment

toward

a“defense-in-depth”

framework

that

governs

the

entire

ecosystem

through

controlled

agenticmarkets,

systemic

circuit

breakers,

and

robust

oversight

of

collective

behaviors.FocusareasAcross

Google,

our

expertsundertake

and

support

researchonarange

ofpriority

topics,

fromrelationshipsandhowtoprotect

themental

wellbeingof

AIusers,to

chemical,biological,

radiological,andnuclearrisks.

Somerecent

examplesinclude:Cybersecurity.

InMarch2025,

wepublished

a

framework

forevaluating

theoffensivecybercapabilitiesof

AI

systems.

Thisevaluation

covers

everyphase

of

the

cyberattack

chain,

addresses

a

widerangeof

threat

types,

andis

groundedin

real-worlddata.Information

Quality.

In

November2025,

wepublishedthe

FACTSLeaderboard,asuiteofmethodstoevaluatethe

accuracyofLLMs.It

evaluatesmodelsontheirability

toaccurately

answerdifferentkindsofquestions,including

questionsaboutimages,questionsthatrely

on

using

search

tools,“closed-book”questions

thatmodelsmustanswer

withoutexternal

tools,

and

questionsaboutlong-form

documents.Mental

health.

In

July2025,

weannouncedourpartnership

with

Wellcome

Trust,

one

of

thelargest

charitiesinthe

world,on

amulti-yearinvestment

in

AIresearch

fortreatinganxiety,depression,

andpsychosis.

Wealso

worked

with

Grand

Challenges

Canadaand

McKinseyHealthInstitutetocreate

a

practical

field

guide

formentalhealth

organizations

onhow

touse

AI

for

scalingevidence-basedmentalhealthinterventions.Kidsand

Families.In

October

2025,

we

announcedthe

winners

of

the

Google

Academic

ResearchAwards,

through

which

wehave

supportedresearchexploringcriticaltopics,

including

the

impactof

AIon

teenagersand

early

childhooddevelopment.In

addition

to

the

funds

attached

to

these

awards,

awardees

arematched

to

a

Google

research

sponsor,providing

direct

connection

to

our

ownresearch

community.

risksfromadvancedAIsystemsAs

wepush

forward

the

frontiersof

what

AIiscapable

of,

our

research

teamscontinue

to

study

thepotentialrisks

thatmay

emergeandhow

tobestevaluate

and

mitigate

them.

6CasestudyMappingunexpectedrisksthroughadversarialredteamingAcoreaspectofour

testing

strategyisredteaming—unstructured,adversariaItestingdesignedtouncoverunexpectedriskvectors

thatstandardevaIuationsmightmiss.ReIying

onIateraIthinkingandmethodicaIexpIoration,

ourteamssimuIatehowmaIiciousactorsmightattempttomisuseoursystems.

ThesespeciaIistscoverabroadrangeofkeyriskareas,incIudingchiIdsafetyandcontentsafety.

ln2025aIone,ourContent

AdversariaIRed

Team

(CART)compIetedover350exercises.

ThisworkspansaIImajormodaIities—incIuding

text,audio,images,andvideo—asweIIas

compIexcapabiIitiesIikeagentic

Al,aIIowingustomapriskstostayaheadofarapidIyshiftingthreatIandscape.OurCARTteamsareexpertsinconductinghuman–drivenunstructuredtestsatscaIe.

To

supportthis,

weadditionaIIydepIoy

automated

redteamingtechniquesto

systematicaIIyexpIoreadversariaIattackstoenabIeabroad

assessmentofmodeIvuInerabiIities.Addressing

novelandemerging

risksNoveI

AlsystemscanmeanthereispotentiaIfornoveIrisks.

ToevaIuateourmostadvancedfrontiersystems,ourNoveI

Al

Testingteamwas

formedtospearheadevaIuationsat

scaIe

for

new

Alsystems,suchasadvancedagentsandPersonaIlnteIIigence.

WithinpersonaIizationtesting,theteamengineered

a

scaIed

approach

fordynamic,context–awareevaIuations.Managing

safety

throughcollaborativescrutinyOurinternaIrigoriscompIementedbyexternaI

vaIidationtoensureobjectiveassessments.

We

partnerwithindependentevaIuators

incIuding

ApoIIo,

VauItis,andDreadnode,andprovideearIyaccessto

ourmodeIs

tobodies

suchastheUK

AlSecuritylnstitute.

ThisexternaIscrutiny

vaIidatesthatourmodeIsadheretothe

safetypracticesoutIinedin

ourupdated

Frontier

SafetyFramework,heIpingustostresstestour

modeIsindifferentriskareas,fromcybertoharmfuImanipuIation.UItimateIy,thiscomprehensivestrategy—combininghuman–in–the–Ioopexpertise

with

Al–assistedscaIe—enabIesdata–drivensafety

andsecurityassessments,

and

ensures

thatweareabIetoaddressnewand

emergingrisks

whiIeenabIingthenextgenerationofboId

Alexperiences.Stress

oursystemsAs

AlcapabiIitiescontinueto

deveIop,

we

are

evoIving

ourrigorous

testing

frameworksandspeciaIized

teams

to

addressnewriskprofiIes.Byintegratinghumanexpertise

with

Al–assisted

automation,

weareensuringtheseadvancedsystems

scaIe

safeIy

whiIeremainingheIpfuI

foreveryone.proactiveIyidentifyandmitigatehighharm

risks

withoutexposing

thepubIic

web

to

potentiaIharm.“BuddyAgents”WearecurrentIyimpIementingautomated

monitoringagentsthatIoginteractionsand

assesscompIianceinreaI–timeofthe

agent

being

tested.Multi-turninteractionsWearedeveIopingthecapabiIity

toprovide

insightsintohowagentsperform

in

compIex,

muIti–turninteractionsusingpersonaIized

data-aIIowingustoaccurateIyevaIuate

the

intersectionofmuItipIenoveIcapabiIities

as

they

converge.lnthisagenticera—

where

AlsystemsautonomousIyinteract

withservices

andusers—werequireanewtestingparadigmdesignedspecificaIIy

fortheseinteraction

–

basedrisks.

Toensureourtestingkeepspace

withthe

speed

ofproduct

innovation,

weareevoIvingourcapabiIitiestobemore

authentic,automated,andactionabIe.ThesandboxWedeveIopedanauthentic,interactivesandboxenvironmentthatrepIicatescompIex,muIti–turndigitaIuserexperiences

andstate–of–the–artattacks.

ThispIatformIookstoaddresscriticaIsafety,IegaI,andscaIabiIitychaIIengesinherentinIiveinternet

testingofagenticproducts,andaIIowsus

to

7ApproachtoagentictestingCasestudyAcceleratingscientificprogressWeare

fostering

anew

golden

age

of

discovery

byapplying

AIto

fundamentalsciences.

Thisincludes

advancingnuclear

fusionresearchand

utilizing

quantumcomputing

to

solveproblems

that

werepreviouslyintractable.

Alongsidethis,

wearecreating

toolslike

AI

co-scientist

thathelpscientistsgeneratenovelhypotheses

to

accelerate

the

speedof

scientificdiscoveries.Improvingglobal

healthWearedrivingprogressin

genomics

and

disease

detection,

automatingadministrativeburdenforclinicians,andpartnering

withinstitutions

like

YaleUniversitytodiscovernewpotentialcancertherapypathways.

Through

AItoolslike

AlphaFold,

whichpredictsprotein

structures,

we

areacceleratingourunderstanding

of

disease

—enablingdrug

discovery

and

openingnewfrontiersindiagnostics

and

treatment.Strengthening

resilienceWearestrengthening

globalresiliencebyprovidingresponsibleagencies

withexperimentaltoolsthat

give

earlier

warning

for

floods,

cyclones,and

earthquakes.

When

used,thesetools

canhelp

communitiesprepare

forandrespond

to

disasters

moreeffectively.Beyo