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9/25/2018
1
September 24, 2018
Joseph Blankenship
Dr. Chase Cunningham
Good vs. Evil: AI And Machine
Learning In The Real World
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Technology Has Always Had Dual Roles
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AI is no different.
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There Are Many Promising Uses For AI
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Like other technologies,
AI can also be used for evil.
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Researchers
recognize how AI
can be misused.
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AI Enables Autonomous Weapons
The Taranis Drone
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Source: Washington Post, “Defense Department pledges billions toward artificial intelligence research”
The U.S. Department of Defense
plans to spend $2.2 billion on AI.
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Base: 920 Security technology decision-makers enterprise (1,000+ Employees)
Source: Forrester's Business Technographics Global Security Survey, 2018
66% of security technology
decision makers consider the
use of AI a high priority.
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Forrester’s “Artificial Intelligence
Will Revolutionize Cybersecurity” report
AI Building Blocks For Cybersecurity
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Defensive AI:
Authenticating
Users
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Defensive AI:
Identifying Threats
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Defensive AI:
Automating
Response
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Evil AI: Fueling Social
Engineering Attacks
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Evil AI: Enabling Deception Operations
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Evil AI: Creating
Better Malware
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Malware creation
Deception operations
Plotting its own attacks
Self-proliferation
Imp
act
Sophistication
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“Artificial intelligence is the future... It comes
with colossal opportunities, but also threats
that are difficult to predict. Whoever becomes
the leader in this sphere will become the ruler
of the world,”
− Vladimir Putin
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Hire or contract an AI expert onto your
security team.
Inventory AI initiatives across your enterprise.
Assess AI technologies as weapons and
attack vectors
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Meet F.E.D.O.R.
The Russian robot
trained to shoot.
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Thank you
Joseph Blankenship@infosec_jb
Dr. Chase Cunningham@CynjaChaseC
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Strength – tractor replaced horse-drawn plow that replaced
human labor
Speed – Automobile replaced the horse that replaced
walking
Sight – telescopes & microscopes enhance human visual
capabilities
Hearing – non-electronic amplification (e.g., gramophone)
electronic amplification (electric speakers)
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Will We be Working for Robots?A real robot boss?
Milgram obedience studies
(Yale University psychologist Stanley Milgram 1963)
Young and Cormier Study found that around half of the participants obeyed the
robot until the end, and many reacted to it as though it were human, offering
compromises and logical arguments to persuade the robot
MIT research has found that human employees are more productive when a
robot allocates tasks
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Videos:
Murderbots (AI drone video)
Robot Dogs (AI opening doors)
Run training (Teach AI to run)
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