AI #1
AI #2
AI #3
100

Artificial Intelligence

Abbreviated as "AI", refers to technology that enables computers and machines to simulate human intelligence and problem-solving capabilities.

100

What famous chess player got beaten by AI?

Garry Kasparov

100

Who is the "father of AI"?

John McCarthy

200

Machine Learning

Abbreviated as "ML", refers to the discipline of AI that provides machines with the ability to automatically learn from data and past experiences while identifying patterns to make predictions with minimal human intervention.
200

Natural language processing

Abbreviated as "NLP"

Combines computational linguistics -- rule based modeling human language -- with statistical and machine learning to enable computers and digital devices to recognize, understand, and generate text and speech

200

Computer Vision

Field of AI that uses ML and neural networks to teach computers and systems to derive meaningful information from digital images, videos, and other visual inputs -- and to make recommendations or take actions when they see defects or issues.

300

Deep learning

Subset of ML methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network.

300

Reinforcement learning

Abbreviated as RL

ML technique that trains software to make decisions to achieve the most optimal results. It mimics the trial and error learning process that humans use to achieve their goals.

300

AI Bias

Also known as ML / Algorithm bias,

Refers to AI systems that produce biased results that reflect and perpetuate human biases within a society, including historical and current social inequality.

400
Turing Test

Named after Alan Turing, who pioneered ML in the 1940s and 50s

Measures the intelligence of a test subject to determine whether a machine can demonstrate intelligence. According to the test, a computer program can think if its responses can fool a human into believing it, it too is human.

400

What are the three main types of AI?

Weak AI - Focuses on one task and cannot perform anything beyond its limitations. Very commonly used in our daily lives

Strong AI - Can understand and learn any intellectual task that a human being can (Researchers are still striving to achieve this)

Super AI - Surpasses human intelligence and can perform any task better than a human (Still a concept)

400

How did John McCarthy define AI in the 1950s? 

"The science and engineering of making machines that are smart."

500

What are all the benefits of AI?

(Meaning the ones listed on the slides HAHA)

  • Eliminates human error and risk
  • 24/7 availability  
  • Unbiased decision making
  • Repetitive jobs
  • Cost reduction
  • Data acquisition and analysis
500

How can AI benefit:

Healthcare services

Transportation Systems

Education

Creative Industries

Healthcare - Increases treatment customization

Transportation - Decreases traffic congestion

Education - Creates personalized learning platforms and automated grading systems

Creative Industries - Doesn't affect creative industries, as AI cannot fully replicate human thought and creativity as of today.

500

What are all the risks of AI?

(Meaning the ones listed on the slides HAHA)

  • Costly implementation
  • Lack of emotion and creativity
  • Degradation
  • No improvement with experience
  • Reduced jobs for humans
  • Ethical problems
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