SlideShare uma empresa Scribd logo
1 de 52
Baixar para ler offline
Artificial Intelligence:
How can AI help me on the battlefield?
Prof dr ir Jan C. Scholtes
11th Airmobile Brigade
The Netherlands
Officers Day, April 26, 2019
2
Your presenter today:
Anthropomorphism
Forget
about
Hollywood
AI is reality
4
3rd Weapon Revolution
• Gunpowder
• Atomic power
• Artificial Intelligence
Many governments fear a new “Sputnik” moment
6
Near Future: huge government
investments in AI worldwide
Source: https://www.cifar.ca/cifarnews/2018/12/06/building-an-ai-world-report-on-
national-and-regional-ai-strategies
7
AI was Born on the Battlefield
• Alan Turing Enigma
(1942)
• TCP/IP (the internet)
(1983)
• Closed in Weapon
Systems (Phalanx)
(1973)
• Defensive Autonomous
Weapons (Patriot, C-
RAM) (1984-2006)
• Tomahawk and JDAM
(1991-1997)
8
Future Role of AI on the Battlefield
Intelligent Agents will be Targets,
but they can also be used as
Perpetrators or Defenders
9
Intelligence & Reconnaissance
10
Advanced Targeting and Lethality
Automated System (ATLAS)
In February 2019, the
U.S. Army asked
experts for ideas on
how to build a system
that would allow
tanks and other
ground-combat
vehicles to quickly
and automatically
“acquire, identify, and
engage” targets.
12
13
14
Cyber wars
Source: http://www.forbesindia.com/blog/life/the-geography-of-cyber-warfare/
The question of whether a computer can
think is no more interesting than the
question of whether a submarine can
swim.- Edsger Dijkstra
17
AI solves problems differently than
humans …
Computers have different skillset than humans. They excel in:
• Infinite speed & memory
• 24/7 availability
• Scalability
 A computer program can try something 100 millions of times in a
fraction of the time humans in order to fine tune all parameters to
find an optimal solution.
 Computer programs can use data structures representing 100
millions of features to find patterns and solve problems.
AI approaches language, vision, listening, and movement different than humans.
18
What is Artificial Intelligence?
19
What is an Autonomous Agent
• An autonomous agent
is an intelligent agent
operating on an owner's
behalf but without any
interference of that
ownership entity.
• Can be a computer
program but also a
robot, vehicle, drone or
vessel.
20
• 1997: Brute force
computer power
• No intuition or
creativity
Why is Artificial Intelligence Suddenly so Good??
21
• 2011: Text
retrieval &
Inferencing with
rules
• All knowledge
engineered by
humans
22
• 2016: Deep &
Reinforcement learning
• Creativity
• Self-learning
23
The development of AI
Brute force computer
power (evaluate 200
million positions per
second!). Algorithms
explicitly programmed
by check experts.
Massive information
retrieval (four
terabytes of
information). Little
learning or reasoning.
Based on (deep)
machine-learning.
Started with games
from professional
players. Learned
further from playing
30 million games
against itself.
24
This is only the beginning
Faculty Humanities and Sciences
Where does this growth come from ?
61 years of
exponential data
growth
27
As a result, the cost of technology is decimating
29
Exponential Growth: Deception
30
Technology is exponential, humans
are not!
32
Remember this …
Today, holograms are for real
Teleportation
Quantum computers
37
The Singularity is Near (2005)
The Singularity is Near, Ray Kurzweil defines singularity as a time period
in which technology growth (exponential) is at a such a pace that it blurs
the distinct lines between nature and technology. The singularity is when
technology merges with and overtakes biology and the human brain.
Our intelligence becomes super powerful, evolving into a non-biological
entity with the extraordinary processing power of machines. This merge is
the core of singularity. Kurzweil believes it will be in 2045.
39
• AI Agents learn by using
imitation and reinforcement
learning (like AlphaGo).
• Create more realistic
enemies.
40
Computers are ruthless… fruit picking game
• Google’s AI got “highly
aggressive” when
competition got stressful in
a fruit-picking game.
• Shoot other players at
beginning of game.
41
42
Reinforcement Learning
• What is your
reward
function?
• Simulate 100
millions of
situations
43
How to Evaluate the Quality?
44
The Strength and Weakness of AI
Strengths
Skills
 Memory
 Speed
 Force
 Vision
 Sensory
Weakness
 Judgement
 Knowledge
 Dealing with
uncertainty
and
unexpected
behavior
 Creativity
45
Battlefield Challenges we have not Solved yet …
• “No plan survives
first contact with
enemy”
• Dinky, Dirty,
Dynamic and
Deceptive Data*
• Computers break
down, have bugs,
malfunction, need
repair, maintenance
and energy.
• Malware, viruses,
electro-magnetical
interference, …
46
AI on the Battlefield: where are we?
• Sensor fusion for reconnaissance &
intelligence
• Simulations & training
• Planning
• Exo-skeletons
• Medical & Logistical support
• Guided weapons
• Precision targeting
• Missile defense
• Cyber security
• Omnipresent and Omniscient
autonomous vehicles, vessels or
drones
• Autonomous intelligence and
reconnaissance missions
• Automatically “acquire, identify, and
engage” targets
• Strategic decisions: big-data-driven
modeling, simulation, and war
gaming
• AI guided cyber attacks
• …
Now Future
47
How about Policy Rules?
• The human in the
loop: robot selects,
human shoots.
• The human on the
loop: activated and
goes. Cancel button.
• The human off the
loop: mines.
How about robot
beyond the loop when
agents developing their
own policy rules. Then
we can either end up
with a Skynet or War
Games scenario. Should
be avoided at all times!
1. A robot may not injure a human being or,
through inaction, allow a human being to
come to harm.
2. A robot must obey orders given it by
human beings except where such orders
would conflict with the First Law.
3. A robot must protect its own existence as
long as such protection does not conflict
with the First or Second Law.
48
The Campaign to Stop Killer
Robots, a coalition of non-
governmental organizations
working to ban autonomous
weapons and maintain
“meaningful human control over
the use of force”.
Source:https://www.youtube.com/watch?v=9CO6M2HsoIA&feat
ure=youtu.be
In 2017, Stuart Russell showed a dystopian future
brought on by autonomous military weaponry that
activists say would “decide who lives and dies, without
further human intervention, which crosses a moral
threshold.”
Robot Rights Movement
But how about the other way around?
51
A Compilation of Robots Falling Down at the DARPA Robotics Challenge:
https://www.youtube.com/watch?v=g0TaYhjpOfo&feature=youtu.be
Thank you!
Time for Q&A
Prof dr ir Jan C. Scholtes
https://www.linkedin.com/in/jscholtes/
www.textmining.nu

Mais conteúdo relacionado

Mais procurados

Data science project presentation
Data science project presentationData science project presentation
Data science project presentation
Kevin Bluer
 
Lecture #1: Introduction to machine learning (ML)
Lecture #1: Introduction to machine learning (ML)Lecture #1: Introduction to machine learning (ML)
Lecture #1: Introduction to machine learning (ML)
butest
 

Mais procurados (20)

Artificial inteligence
Artificial inteligenceArtificial inteligence
Artificial inteligence
 
Introduction to the ethics of machine learning
Introduction to the ethics of machine learningIntroduction to the ethics of machine learning
Introduction to the ethics of machine learning
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Introduction To Machine Learning
Introduction To Machine LearningIntroduction To Machine Learning
Introduction To Machine Learning
 
Artificial Intelligence = ML + DL with Tensor Flow
Artificial Intelligence = ML + DL with Tensor FlowArtificial Intelligence = ML + DL with Tensor Flow
Artificial Intelligence = ML + DL with Tensor Flow
 
Machine learning
Machine learningMachine learning
Machine learning
 
Ai introduction
Ai introductionAi introduction
Ai introduction
 
Network Centric Warfare - An Introduction
Network Centric Warfare - An IntroductionNetwork Centric Warfare - An Introduction
Network Centric Warfare - An Introduction
 
Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
 
Data science project presentation
Data science project presentationData science project presentation
Data science project presentation
 
Ai and robotics: Past, Present and Future
Ai and robotics: Past, Present and FutureAi and robotics: Past, Present and Future
Ai and robotics: Past, Present and Future
 
Lecture #1: Introduction to machine learning (ML)
Lecture #1: Introduction to machine learning (ML)Lecture #1: Introduction to machine learning (ML)
Lecture #1: Introduction to machine learning (ML)
 
Artificial Intelligence for Cyber Security
Artificial Intelligence for Cyber SecurityArtificial Intelligence for Cyber Security
Artificial Intelligence for Cyber Security
 
2. History of drones
2. History of drones2. History of drones
2. History of drones
 
Machine learning introduction
Machine learning introductionMachine learning introduction
Machine learning introduction
 
Security and Privacy of Machine Learning
Security and Privacy of Machine LearningSecurity and Privacy of Machine Learning
Security and Privacy of Machine Learning
 
An overview of Artificial intelligence
An overview of Artificial intelligence An overview of Artificial intelligence
An overview of Artificial intelligence
 
Artificial Intelligence Presentation
Artificial Intelligence PresentationArtificial Intelligence Presentation
Artificial Intelligence Presentation
 

Semelhante a How can Artificial Intelligence help me on the Battlefield?

Semelhante a How can Artificial Intelligence help me on the Battlefield? (20)

A.i lecture-02
A.i lecture-02A.i lecture-02
A.i lecture-02
 
AI and its Effects on the Global World Order
AI and its Effects on the Global World OrderAI and its Effects on the Global World Order
AI and its Effects on the Global World Order
 
aippt-100308091448-phpapp01.ppt
aippt-100308091448-phpapp01.pptaippt-100308091448-phpapp01.ppt
aippt-100308091448-phpapp01.ppt
 
Military Flight Training - Digital Technology Disruption Ahead?
Military Flight Training - Digital Technology Disruption Ahead?Military Flight Training - Digital Technology Disruption Ahead?
Military Flight Training - Digital Technology Disruption Ahead?
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Into the next dimension
Into the next dimensionInto the next dimension
Into the next dimension
 
Artificial intelligence - (A seminar on Emerging Trends of Technology)
Artificial intelligence - (A seminar on Emerging Trends of Technology) Artificial intelligence - (A seminar on Emerging Trends of Technology)
Artificial intelligence - (A seminar on Emerging Trends of Technology)
 
Artificial intelligence manish kumar_office2010
Artificial intelligence manish kumar_office2010Artificial intelligence manish kumar_office2010
Artificial intelligence manish kumar_office2010
 
Ch~3.pdf
Ch~3.pdfCh~3.pdf
Ch~3.pdf
 
Artificial inteligence
Artificial inteligenceArtificial inteligence
Artificial inteligence
 
Singularity - fiction or future?
Singularity - fiction or future?Singularity - fiction or future?
Singularity - fiction or future?
 
Chapter four AI and modern world part two.pptx
Chapter four AI and modern world part two.pptxChapter four AI and modern world part two.pptx
Chapter four AI and modern world part two.pptx
 
When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!
 
How to design a decentralisation: is blockchain & token needed or just a buzz...
How to design a decentralisation: is blockchain & token needed or just a buzz...How to design a decentralisation: is blockchain & token needed or just a buzz...
How to design a decentralisation: is blockchain & token needed or just a buzz...
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
 
AI Gone Wild or Maybe Not
AI Gone Wild or Maybe NotAI Gone Wild or Maybe Not
AI Gone Wild or Maybe Not
 
Machine learning 101 - or less
Machine learning 101 - or lessMachine learning 101 - or less
Machine learning 101 - or less
 
AI & robotics: Past, Present and Future
AI & robotics: Past, Present and FutureAI & robotics: Past, Present and Future
AI & robotics: Past, Present and Future
 
The #FreeAI Manifesto
The #FreeAI ManifestoThe #FreeAI Manifesto
The #FreeAI Manifesto
 

Mais de jcscholtes

Text mining voor Business Intelligence toepassingen
Text mining voor Business Intelligence toepassingenText mining voor Business Intelligence toepassingen
Text mining voor Business Intelligence toepassingen
jcscholtes
 
How can text-mining leverage developments in Deep Learning? Presentation at ...
How can text-mining leverage developments in Deep Learning?  Presentation at ...How can text-mining leverage developments in Deep Learning?  Presentation at ...
How can text-mining leverage developments in Deep Learning? Presentation at ...
jcscholtes
 
Text mining scholtes - big data congress utrecht 2018
Text mining   scholtes - big data congress utrecht 2018Text mining   scholtes - big data congress utrecht 2018
Text mining scholtes - big data congress utrecht 2018
jcscholtes
 

Mais de jcscholtes (16)

Legal tech Alliance Workshop 20191029
Legal tech Alliance Workshop 20191029Legal tech Alliance Workshop 20191029
Legal tech Alliance Workshop 20191029
 
LegalTech Alliance eDiscovery keynote Scholtes
LegalTech Alliance eDiscovery keynote ScholtesLegalTech Alliance eDiscovery keynote Scholtes
LegalTech Alliance eDiscovery keynote Scholtes
 
Text mining scholtes - big data congress utrecht 2019
Text mining   scholtes - big data congress utrecht 2019Text mining   scholtes - big data congress utrecht 2019
Text mining scholtes - big data congress utrecht 2019
 
Target-Based Sentiment Anaysis as a Sequence-Tagging Task
Target-Based Sentiment Anaysis as a Sequence-Tagging TaskTarget-Based Sentiment Anaysis as a Sequence-Tagging Task
Target-Based Sentiment Anaysis as a Sequence-Tagging Task
 
Ai and applications in the legal domain studium generale maastricht 20191101
Ai and applications in the legal domain studium generale maastricht 20191101Ai and applications in the legal domain studium generale maastricht 20191101
Ai and applications in the legal domain studium generale maastricht 20191101
 
Augmented intelligence and the impact on your world in 2030
Augmented intelligence and the impact on your world in 2030Augmented intelligence and the impact on your world in 2030
Augmented intelligence and the impact on your world in 2030
 
Text mining voor Business Intelligence toepassingen
Text mining voor Business Intelligence toepassingenText mining voor Business Intelligence toepassingen
Text mining voor Business Intelligence toepassingen
 
How can text-mining leverage developments in Deep Learning? Presentation at ...
How can text-mining leverage developments in Deep Learning?  Presentation at ...How can text-mining leverage developments in Deep Learning?  Presentation at ...
How can text-mining leverage developments in Deep Learning? Presentation at ...
 
Hogeschool Den Haag Legal Analytics
Hogeschool Den Haag Legal AnalyticsHogeschool Den Haag Legal Analytics
Hogeschool Den Haag Legal Analytics
 
HvA Legaltech Lab Opening
HvA Legaltech Lab OpeningHvA Legaltech Lab Opening
HvA Legaltech Lab Opening
 
Big Data en Data Science en de Rechtspraak
Big Data en Data Science en de RechtspraakBig Data en Data Science en de Rechtspraak
Big Data en Data Science en de Rechtspraak
 
Big data analytics for legal fact finding
Big data analytics for legal fact findingBig data analytics for legal fact finding
Big data analytics for legal fact finding
 
Text mining scholtes - big data congress utrecht 2018
Text mining   scholtes - big data congress utrecht 2018Text mining   scholtes - big data congress utrecht 2018
Text mining scholtes - big data congress utrecht 2018
 
How new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-finalHow new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-final
 
Efficiently Handling Subject Access Requests
Efficiently Handling Subject Access RequestsEfficiently Handling Subject Access Requests
Efficiently Handling Subject Access Requests
 
Waarom LegalTech de toekomst heeft
Waarom LegalTech de toekomst heeftWaarom LegalTech de toekomst heeft
Waarom LegalTech de toekomst heeft
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 

Último (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 

How can Artificial Intelligence help me on the Battlefield?

  • 1. Artificial Intelligence: How can AI help me on the battlefield? Prof dr ir Jan C. Scholtes 11th Airmobile Brigade The Netherlands Officers Day, April 26, 2019
  • 4. 4 3rd Weapon Revolution • Gunpowder • Atomic power • Artificial Intelligence
  • 5. Many governments fear a new “Sputnik” moment
  • 6. 6 Near Future: huge government investments in AI worldwide Source: https://www.cifar.ca/cifarnews/2018/12/06/building-an-ai-world-report-on- national-and-regional-ai-strategies
  • 7. 7 AI was Born on the Battlefield • Alan Turing Enigma (1942) • TCP/IP (the internet) (1983) • Closed in Weapon Systems (Phalanx) (1973) • Defensive Autonomous Weapons (Patriot, C- RAM) (1984-2006) • Tomahawk and JDAM (1991-1997)
  • 8. 8 Future Role of AI on the Battlefield Intelligent Agents will be Targets, but they can also be used as Perpetrators or Defenders
  • 10. 10 Advanced Targeting and Lethality Automated System (ATLAS) In February 2019, the U.S. Army asked experts for ideas on how to build a system that would allow tanks and other ground-combat vehicles to quickly and automatically “acquire, identify, and engage” targets.
  • 11.
  • 12. 12
  • 13. 13
  • 15.
  • 16. The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.- Edsger Dijkstra
  • 17. 17 AI solves problems differently than humans … Computers have different skillset than humans. They excel in: • Infinite speed & memory • 24/7 availability • Scalability  A computer program can try something 100 millions of times in a fraction of the time humans in order to fine tune all parameters to find an optimal solution.  Computer programs can use data structures representing 100 millions of features to find patterns and solve problems. AI approaches language, vision, listening, and movement different than humans.
  • 18. 18 What is Artificial Intelligence?
  • 19. 19 What is an Autonomous Agent • An autonomous agent is an intelligent agent operating on an owner's behalf but without any interference of that ownership entity. • Can be a computer program but also a robot, vehicle, drone or vessel.
  • 20. 20 • 1997: Brute force computer power • No intuition or creativity Why is Artificial Intelligence Suddenly so Good??
  • 21. 21 • 2011: Text retrieval & Inferencing with rules • All knowledge engineered by humans
  • 22. 22 • 2016: Deep & Reinforcement learning • Creativity • Self-learning
  • 23. 23 The development of AI Brute force computer power (evaluate 200 million positions per second!). Algorithms explicitly programmed by check experts. Massive information retrieval (four terabytes of information). Little learning or reasoning. Based on (deep) machine-learning. Started with games from professional players. Learned further from playing 30 million games against itself.
  • 24. 24 This is only the beginning
  • 25.
  • 26. Faculty Humanities and Sciences Where does this growth come from ? 61 years of exponential data growth
  • 27. 27
  • 28. As a result, the cost of technology is decimating
  • 30. 30
  • 31. Technology is exponential, humans are not!
  • 32. 32
  • 37. 37 The Singularity is Near (2005) The Singularity is Near, Ray Kurzweil defines singularity as a time period in which technology growth (exponential) is at a such a pace that it blurs the distinct lines between nature and technology. The singularity is when technology merges with and overtakes biology and the human brain. Our intelligence becomes super powerful, evolving into a non-biological entity with the extraordinary processing power of machines. This merge is the core of singularity. Kurzweil believes it will be in 2045.
  • 38.
  • 39. 39 • AI Agents learn by using imitation and reinforcement learning (like AlphaGo). • Create more realistic enemies.
  • 40. 40 Computers are ruthless… fruit picking game • Google’s AI got “highly aggressive” when competition got stressful in a fruit-picking game. • Shoot other players at beginning of game.
  • 41. 41
  • 42. 42 Reinforcement Learning • What is your reward function? • Simulate 100 millions of situations
  • 43. 43 How to Evaluate the Quality?
  • 44. 44 The Strength and Weakness of AI Strengths Skills  Memory  Speed  Force  Vision  Sensory Weakness  Judgement  Knowledge  Dealing with uncertainty and unexpected behavior  Creativity
  • 45. 45 Battlefield Challenges we have not Solved yet … • “No plan survives first contact with enemy” • Dinky, Dirty, Dynamic and Deceptive Data* • Computers break down, have bugs, malfunction, need repair, maintenance and energy. • Malware, viruses, electro-magnetical interference, …
  • 46. 46 AI on the Battlefield: where are we? • Sensor fusion for reconnaissance & intelligence • Simulations & training • Planning • Exo-skeletons • Medical & Logistical support • Guided weapons • Precision targeting • Missile defense • Cyber security • Omnipresent and Omniscient autonomous vehicles, vessels or drones • Autonomous intelligence and reconnaissance missions • Automatically “acquire, identify, and engage” targets • Strategic decisions: big-data-driven modeling, simulation, and war gaming • AI guided cyber attacks • … Now Future
  • 47. 47 How about Policy Rules? • The human in the loop: robot selects, human shoots. • The human on the loop: activated and goes. Cancel button. • The human off the loop: mines. How about robot beyond the loop when agents developing their own policy rules. Then we can either end up with a Skynet or War Games scenario. Should be avoided at all times! 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey orders given it by human beings except where such orders would conflict with the First Law. 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
  • 48. 48 The Campaign to Stop Killer Robots, a coalition of non- governmental organizations working to ban autonomous weapons and maintain “meaningful human control over the use of force”. Source:https://www.youtube.com/watch?v=9CO6M2HsoIA&feat ure=youtu.be In 2017, Stuart Russell showed a dystopian future brought on by autonomous military weaponry that activists say would “decide who lives and dies, without further human intervention, which crosses a moral threshold.”
  • 50. But how about the other way around?
  • 51. 51 A Compilation of Robots Falling Down at the DARPA Robotics Challenge: https://www.youtube.com/watch?v=g0TaYhjpOfo&feature=youtu.be
  • 52. Thank you! Time for Q&A Prof dr ir Jan C. Scholtes https://www.linkedin.com/in/jscholtes/ www.textmining.nu