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Dawn of Artificial Intelligence - Texas · National Center for Missing & Exploited Children Founded...
Transcript of Dawn of Artificial Intelligence - Texas · National Center for Missing & Exploited Children Founded...
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Data Center Group 2
Dawn of Artificial Intelligence
“In the past a lot of S&P 500 CEOs wished they had started thinking sooner than they did about their Internet strategy. I think five years from now there will be a number of S&P 500 CEOs that will wish they’d started thinking earlier about their AI strategy.”
– Andrew Ng
AI luminary
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Artificial intelligence
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4
0%
8%
15%
23%
30%
Human
2010 Present
Image recognition
0%
8%
15%
23%
30%
2000 Present
Speech recognition
Erro
r
Erro
r
Human
97% person 99%
“play song”
Deep learning breakthroughs
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men and women are traffickedinternationally every year
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in the United States alone
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are children
Of those U.S. victims,
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Most of the sex traffic victims are only
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of the trafficking victims are coming from families with Child Protection Service involvement…
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are ever rescued
Less than
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©2016 The University of Texas at Austin, School of Social Work, Institute on Domestic Violence and Sexual Assault
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Federal Government Stakeholders
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NCMEC builds a coordinated national response
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National Center for Missing & Exploited Children
Founded John Walsh and other advocates 19
84
Annual Budget
46
Million$
ALEXANDRIA, VIRGINIA
Headquartered inEmployees3
20
5DIVISIONS Missing
Children
Exploited Children
CaseAnalysis
Family Advocacy
Training
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75% of sex trafficking victims are sold using
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NCMEC’s Flood of Data
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
2010 2011 2012 2013 2014 2015 2016
8M tips in2016
7.4M CyberTipline reports 70K Calls to Call Center 19M child pornography images/videos reviewed 8K Professionals trained
20K newly reported missing children 3K non-compliant sex offenders located 8K families provided emotional support
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What is private sector doing to help?
Provide IT consulting with anenterprise data management strategy
Partner with NCMEC’s tool providers to accelerate image matching capabilities
Provide guidance on IT Transformation for their data center to address exponential data growth
Reduce CyberTip data analyticsfrom 30 days to one day with AI
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Thorn
Founded by Ashton Kutcher and Demi Moore200
9
Innovation Lab Annual Budget
2 Million$
Los Angeles,California
Headquartered inEmployees1
9
5Focus areas
Tech company engagement
Hackathons
Deterrence
AI Tools
Innovation Lab
Mission: WE DRIVE TECHNOLOGY INNOVATION TO ELIMINATE CHILD SEXUAL ABUSE MATERIAL FROM THE INTERNET.
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THORN IN FOUR YEARS…DETERRENCE INDUSTRY COLLABORATIONCHILD FINDER SERVICE
6,325 Sex trafficking victims identified
2,186 Traffickers identified
60% Time reduction
2M Reached over 2M with deterrence ads
60K Have sought help
Developing facial recognition to identify child sexual abuse victims
Tool for private industry to identify and remove bad content
37 Children rescued
7 Countries
50%+ Time reduction
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THORN’s CHILD FINDER SERVICE
Escort images(300M)
Missing childrenimages
(15K)
Matches
Leverage facial recognition technology and image intelligence to find missing and exploited children faster.
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THORN’s CHILD FINDER SERVICE
● Accuracy Test Results:
Solid classifier for face recognition
0.92 Area under Curve on tests dataset
PrototypeAt Scale
ImplementationIn Depth Accuracy
AnalysisUser Interface
● Pilot Run:
All NCMEC cases against 25K
Backpage images → 107 matches. Highest
confidence 0.75
Today
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Can you find this missing
girl?
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With AI Assist
Top 3 prospects
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Ai is Happening Everywhere…
Consumer
Health Finance RetailGovernment
EnergyTranspo
rtIndustri
alOther
Smart Assistants
Chatbots
Search
Personalization
Augmented Reality
Robots
Enhanced Diagnostics
Drug Discovery
Patient Care
Research
Sensory Aids
Algorithmic Trading
Fraud Detection
Research
Personal Finance
Risk Mitigation
Support
Experience
Marketing
Merchandising
Loyalty
Supply Chain
Security
Transportation
HHS
Public Safety
Resident Engagement
Education
Criminal Justice
Oil & Gas Exploration
Smart Grid
Operational Improvement
Conservation
Environmental
Autonomous Cars
Automated Trucking
Aerospace
Shipping
Search & Rescue
Factory Automation
Predictive Maintenance
Precision Agriculture
Field Automation
Advertising
Gaming
Professional & IT Services
Telco/Media
Sports
Source: Intel forecast
exam
pl
es
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