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IMPACT OF ARTIFICIAL
INTELLIGENCE ON
SOCIETY
Syed Saqib Raza Rizvi
Lecture 4
Index
 Introduction
 History
 Applications
 Goals
 Fiction
 Isaac Asimov
 Myth and Realities
 References
Introduction
 Intelligence exhibited by machines
Intelligent function
 Learning
 Problem Solving
 Reasoning
 Knowledge
 Planning
 Natural language processing
 Perception
 Approaches
 Machine Learning
 Dynamic Programming
 etc.
Types of
Machines??
1. Manual
2. Automatic
3. Intelligent
4. Smart (GAI)
5. Cognitive (GAI-SAI)
6. Conscious Machines
(SAI)
Histor
y
The field of AI research was founded at
a conference at Dartmouth College
(LONDON) in 1956.
Turing Test (Dilemmas & Paradox)
2030 Prediction about Turing test.
Deep Blue Super computer
Applications
 autonomous vehicles
 Games
 search engines
 online assistants
 image recognition
 spam filtering
 targeting online advertisements
 medical diagnosis
 creating art (such as poetry and painting)
 proving mathematical theorems
 general machine intelligence
 conversational behavior
 data-mining
 robotic,
 companies involved Tesla, Amazon, Google, Facebook,
IBM, and Microsoft
Goals
Expert Systems
Model Human Intelligence (Cognitive)
Solving practical problems in the light of :
 Attempting to deal with problems of
existing intelligent systems (e.g.,
problems of human learning or
emotional difficulties)
 Designing useful new intelligent or semi
Intelligent machines.
In fiction
Marvel comics
Avengers 2: Age of Ultron
Jarvis
Transformer
Max Steel (2010)
 Artificial intelligence (2001)
The terminator series
I-Robots
Interstellar (2014)
Isaac Asimov
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
Myth and Realities
1. Myth: “AI would took all our jobs.”
Reality: There’s no question that artificial intelligence is poised to uproot and replace
many existing jobs, from factory work to the upper echelons of white collar work.
Some experts predict (PDF) that half of all jobs in the US are vulnerable to
automation in the near future.
2. Myth: “We will never create AI with human-like intelligence.”
Reality: We already have computers that match or exceed
human capacities in games like chess and Go, stock market
trading, and conversations. Computers and the algorithms
that drive them can only get better, and it’ll only be a matter
of time before they excel at nearly any human activity.
3. Myth: ““Artificial intelligence will be conscious.”
Reality: A common assumption about machine intelligence is that it’ll be
conscious—that is, it’ll actually think the way humans do. What’s more, critics
like Microsoft co-founder Paul Allen believe that we’ve yet to achieve
artificial general intelligence (AGI), i.e. an intelligence capable of performing
any intellectual task that a human can, because we lack a scientific theory of
consciousness.
4. Myth: “We should be afraid of AI”
Reality: In January, Facebook founder Mark Zuckemberg said we shouldn’t
fear AI, saying it will do an amazing amount of good in the world. He’s half
right; we’re poised to reap tremendous benefits from AI—from self-driving
cars to the creation of new medicine—but there’s no guarantee that every
instantiation of AI will be begin.
5. Myth: “Artificial super intelligence will be too smart to make
mistakes.”
Reality: AI researcher and founder of Surfing Samurai Robots, Richard
Loosemore thinks that most AI doomsday scenarios are incoherent, arguing
that these scenarios always involve an assumption that the AI is supposed to
say “I know that destroying humanity is the result of a glitch in my design,
but I am compelled to do it anyway
6. Myth: “Machines would be out of control.”
Reality: Improving AI machines means greater control mechanism
7. Myth: “We will be destroyed by artificial super intelligence.”
Reality: There’s no guarantee that AI will destroy us, or that we won’t find
ways to control and contain it. As AI theorist Eliezer Yudkowsky said, “The AI
does not hate you, nor does it love you, but you are made out of atoms
which it can use for something else.”
8. Myth: “Risks from AI and robotics are the same.”
Reality: This is a particularly common mistake (good examples here and
here), one perpetuated by an uncritical media and Hollywood films like the
Terminator movies.
9. Myth: “AI is only about making Smart Robots.”
Reality: AI is broader field which aim is to make smart algorithms, data
mining, machine learning, search, etc….
References:
Standford_Research.pdf
Thank you for bearing me!

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Social Impacts of Artificial intelligence

  • 1. IMPACT OF ARTIFICIAL INTELLIGENCE ON SOCIETY Syed Saqib Raza Rizvi Lecture 4
  • 2. Index  Introduction  History  Applications  Goals  Fiction  Isaac Asimov  Myth and Realities  References
  • 3. Introduction  Intelligence exhibited by machines Intelligent function  Learning  Problem Solving  Reasoning  Knowledge  Planning  Natural language processing  Perception  Approaches  Machine Learning  Dynamic Programming  etc.
  • 4. Types of Machines?? 1. Manual 2. Automatic 3. Intelligent 4. Smart (GAI) 5. Cognitive (GAI-SAI) 6. Conscious Machines (SAI)
  • 5. Histor y The field of AI research was founded at a conference at Dartmouth College (LONDON) in 1956. Turing Test (Dilemmas & Paradox) 2030 Prediction about Turing test. Deep Blue Super computer
  • 6. Applications  autonomous vehicles  Games  search engines  online assistants  image recognition  spam filtering  targeting online advertisements  medical diagnosis  creating art (such as poetry and painting)  proving mathematical theorems  general machine intelligence  conversational behavior  data-mining  robotic,  companies involved Tesla, Amazon, Google, Facebook, IBM, and Microsoft
  • 7. Goals Expert Systems Model Human Intelligence (Cognitive) Solving practical problems in the light of :  Attempting to deal with problems of existing intelligent systems (e.g., problems of human learning or emotional difficulties)  Designing useful new intelligent or semi Intelligent machines.
  • 8. In fiction Marvel comics Avengers 2: Age of Ultron Jarvis Transformer Max Steel (2010)  Artificial intelligence (2001) The terminator series I-Robots Interstellar (2014)
  • 9. Isaac Asimov 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
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  • 12. 1. Myth: “AI would took all our jobs.” Reality: There’s no question that artificial intelligence is poised to uproot and replace many existing jobs, from factory work to the upper echelons of white collar work. Some experts predict (PDF) that half of all jobs in the US are vulnerable to automation in the near future.
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  • 16. 2. Myth: “We will never create AI with human-like intelligence.” Reality: We already have computers that match or exceed human capacities in games like chess and Go, stock market trading, and conversations. Computers and the algorithms that drive them can only get better, and it’ll only be a matter of time before they excel at nearly any human activity.
  • 17. 3. Myth: ““Artificial intelligence will be conscious.” Reality: A common assumption about machine intelligence is that it’ll be conscious—that is, it’ll actually think the way humans do. What’s more, critics like Microsoft co-founder Paul Allen believe that we’ve yet to achieve artificial general intelligence (AGI), i.e. an intelligence capable of performing any intellectual task that a human can, because we lack a scientific theory of consciousness.
  • 18. 4. Myth: “We should be afraid of AI” Reality: In January, Facebook founder Mark Zuckemberg said we shouldn’t fear AI, saying it will do an amazing amount of good in the world. He’s half right; we’re poised to reap tremendous benefits from AI—from self-driving cars to the creation of new medicine—but there’s no guarantee that every instantiation of AI will be begin.
  • 19. 5. Myth: “Artificial super intelligence will be too smart to make mistakes.” Reality: AI researcher and founder of Surfing Samurai Robots, Richard Loosemore thinks that most AI doomsday scenarios are incoherent, arguing that these scenarios always involve an assumption that the AI is supposed to say “I know that destroying humanity is the result of a glitch in my design, but I am compelled to do it anyway
  • 20. 6. Myth: “Machines would be out of control.” Reality: Improving AI machines means greater control mechanism
  • 21. 7. Myth: “We will be destroyed by artificial super intelligence.” Reality: There’s no guarantee that AI will destroy us, or that we won’t find ways to control and contain it. As AI theorist Eliezer Yudkowsky said, “The AI does not hate you, nor does it love you, but you are made out of atoms which it can use for something else.”
  • 22. 8. Myth: “Risks from AI and robotics are the same.” Reality: This is a particularly common mistake (good examples here and here), one perpetuated by an uncritical media and Hollywood films like the Terminator movies.
  • 23. 9. Myth: “AI is only about making Smart Robots.” Reality: AI is broader field which aim is to make smart algorithms, data mining, machine learning, search, etc….