Artificial Intelligence
Artificial
Intelligence
Challenges & Opportunities
Assoc. Prof. Mogeeb
Mosleh
Artificial Intelligence
Definition Of
Artificial
Intelligence
 There is no clear consensus on the
definition of AI.
 Artificial Intelligence (AI) refers to the
ability of machines or computer programs to
perform tasks that would normally require
human intelligence, such as recognizing
speech, making decisions, and learning from
experience.
 Using computers to understand human or other
intelligence, but AI does not have to
confine itself to methods that are
Artificial Intelligence
Types Of Artificial
Intelligence
 One is to use the power of computers to
augment human thinking, just as we use
motors to augment human or horse power.
Robotics and expert systems are major
branches of that
 The other is to use a computer's artificial
intelligence to understand, Think, and Feel
for Decision.
Artificial Intelligence
Types of
Artificial
Intelligence
There are several types of
AI, including rule-based
systems, evolutionary
algorithms, fuzzy logic,
expert systems, and
machine learning, computer
vision, NLP, Robotics,
Data Science.
Artificial Intelligence
Logical AI
Search
Natural language
processing
Computer vision
Pattern recognition
Knowledge representation
Inference From some facts,
others can be inferred.
Reasoning
Learning
Branches of AI
Planning To is a study of the kinds of
knowledge that are required for solvingenerate
a strategy for achieving some goal
Epistemology This g problems in the world.
Ontology Ontology is the study of the kinds of
things that exist.
Agents
Games
Artificial life / worlds?
Emotions?
Knowledge Management?
Socialization/communication?
Career in AI
• There is a scope in developing the machines in game
playing, Speech recognition, language detection
machine, computer vision, expert systems, robotics,
and many more
• As per International Data Corporation (IDC)
Worldwide AI Guide, spending on AI systems will
accelerate over the next several years as
organizations deploy AI as part of their digital
transformation efforts & to remain competitive in
the digital economy
• Global spending on AI is forecast to double over the
next 4 years, $50.1 billion in 2020 to more than $110
billion in 2024.
Medicine
Game Playing
Speech Recognition
Natural Language
Computer Vision
Cyber Security
Face Recognition
Transport
Marketing
Analytical thought process
Cognitive Science
Education qualification
Technical skills
Skill for success in
AI
Artificial Intelligence
The Differences
Between Us and
Them
Emotion Understand Consciousness
Protect my
passengers
Protect
pedestrians
Protect
“my self”
Artificial Intelligence
Challenges and
Limitations of Artificial
Intelligence
AI:
Is it for us or
against us?
… full artificial intelligence could
spell the end of the human race” [4]
Generalized AI is worth thinking about
because it stretches our imaginations
and it gets us to think about our core
values and issues of choice
Artificial Intelligence will be ‘vastly
smarter’ than any human and would
overtake us by 2025.
The future is scary and very bad
for people
Steve Wozniak
Apple co-founder
Artificial Intelligence
What are the
Dangers
• Automation putting us all out of work
We will be working for robots
• Loss of human control of our lives - Robots that
surpass humans in strength, speed, agility,
endurance, decision making, intelligence
• Killer robots – militarization of robots (e.g.
drones) with AI
• Robot emotions – will they have empathy
• Will goal seeking intelligent machines, seek the
same goals as we do? Will their goals “evolve” in
a negative direction?
• Everybody knows everything – the drones are
watching you!
Artificial Intelligence
AI Technology
Challenges
 Giving computers “common sense” is still an
unrealized goal.
 Human language is diverse (there are many
languages, dialects, and idiolects) and often
ambiguous. Computers don’t yet understand it.
 General AI systems that can redesign
themselves.
Artificial Intelligence
Ethics And Implications
Of Artificial
Intelligence
As AI becomes more advanced, it raises significant
ethical and societal implications. This topic
covers the ethical considerations of AI
development and how it can affect society.
How do we want our intelligent systems to behave?
How can we ensure they do so?
Artificial Intelligence
Conclusion
• As an Artificial Intelligence aspirant, you have
ample of job opportunities in this field.
• Artificial intelligence will transform the global
economy, and AI jobs are in high demand.
• According to International Data Corporation
(IDC), the number of AI jobs is expected to
globally grow 16 percent this year.
• AI careers are future-proof, meaning they are
likely to survive well into the future.
• Getting an education in AI is challenging and
requires persistence and personal initiative.

A.I_challenges.pptx

  • 1.
    Artificial Intelligence Artificial Intelligence Challenges &Opportunities Assoc. Prof. Mogeeb Mosleh
  • 2.
    Artificial Intelligence Definition Of Artificial Intelligence There is no clear consensus on the definition of AI.  Artificial Intelligence (AI) refers to the ability of machines or computer programs to perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and learning from experience.  Using computers to understand human or other intelligence, but AI does not have to confine itself to methods that are
  • 3.
    Artificial Intelligence Types OfArtificial Intelligence  One is to use the power of computers to augment human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that  The other is to use a computer's artificial intelligence to understand, Think, and Feel for Decision.
  • 4.
    Artificial Intelligence Types of Artificial Intelligence Thereare several types of AI, including rule-based systems, evolutionary algorithms, fuzzy logic, expert systems, and machine learning, computer vision, NLP, Robotics, Data Science.
  • 5.
    Artificial Intelligence Logical AI Search Naturallanguage processing Computer vision Pattern recognition Knowledge representation Inference From some facts, others can be inferred. Reasoning Learning Branches of AI Planning To is a study of the kinds of knowledge that are required for solvingenerate a strategy for achieving some goal Epistemology This g problems in the world. Ontology Ontology is the study of the kinds of things that exist. Agents Games Artificial life / worlds? Emotions? Knowledge Management? Socialization/communication?
  • 6.
    Career in AI •There is a scope in developing the machines in game playing, Speech recognition, language detection machine, computer vision, expert systems, robotics, and many more • As per International Data Corporation (IDC) Worldwide AI Guide, spending on AI systems will accelerate over the next several years as organizations deploy AI as part of their digital transformation efforts & to remain competitive in the digital economy • Global spending on AI is forecast to double over the next 4 years, $50.1 billion in 2020 to more than $110 billion in 2024. Medicine Game Playing Speech Recognition Natural Language Computer Vision Cyber Security Face Recognition Transport Marketing
  • 7.
    Analytical thought process CognitiveScience Education qualification Technical skills Skill for success in AI
  • 8.
    Artificial Intelligence The Differences BetweenUs and Them Emotion Understand Consciousness Protect my passengers Protect pedestrians Protect “my self”
  • 9.
    Artificial Intelligence Challenges and Limitationsof Artificial Intelligence AI: Is it for us or against us?
  • 10.
    … full artificialintelligence could spell the end of the human race” [4] Generalized AI is worth thinking about because it stretches our imaginations and it gets us to think about our core values and issues of choice Artificial Intelligence will be ‘vastly smarter’ than any human and would overtake us by 2025. The future is scary and very bad for people Steve Wozniak Apple co-founder
  • 11.
    Artificial Intelligence What arethe Dangers • Automation putting us all out of work We will be working for robots • Loss of human control of our lives - Robots that surpass humans in strength, speed, agility, endurance, decision making, intelligence • Killer robots – militarization of robots (e.g. drones) with AI • Robot emotions – will they have empathy • Will goal seeking intelligent machines, seek the same goals as we do? Will their goals “evolve” in a negative direction? • Everybody knows everything – the drones are watching you!
  • 12.
    Artificial Intelligence AI Technology Challenges Giving computers “common sense” is still an unrealized goal.  Human language is diverse (there are many languages, dialects, and idiolects) and often ambiguous. Computers don’t yet understand it.  General AI systems that can redesign themselves.
  • 13.
    Artificial Intelligence Ethics AndImplications Of Artificial Intelligence As AI becomes more advanced, it raises significant ethical and societal implications. This topic covers the ethical considerations of AI development and how it can affect society. How do we want our intelligent systems to behave? How can we ensure they do so?
  • 14.
    Artificial Intelligence Conclusion • Asan Artificial Intelligence aspirant, you have ample of job opportunities in this field. • Artificial intelligence will transform the global economy, and AI jobs are in high demand. • According to International Data Corporation (IDC), the number of AI jobs is expected to globally grow 16 percent this year. • AI careers are future-proof, meaning they are likely to survive well into the future. • Getting an education in AI is challenging and requires persistence and personal initiative.