This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
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
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….