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Artificial Intelligence

A guide by Scott Dyer

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What is Artificial Intelligence (AI)?

Artificial Intelligence has become a catch-all term for a new class of software that attempts to mimic the way the human brain learns over time.

Unlike traditional software that functions on the basis of static, repeatable, logic, AI systems have the ability to “learn” as they are fed new information.

AI systems also have the ability to respond in real-time to the external environment.

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“...the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"

  • Wikipedia

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Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine,... If the evaluator cannot reliably tell the machine from the human, the machine is said to have passed the test. - Wikipedia

Alan Turing and the Turing Test

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A Short History of A.I.

Phase Three

Machine Learning

Deep Learning

Neural Networks

Phase One

1956 the term A.I. is coined by John McCarthy during a workshop at Dartmouth College

Phase Two

Expert Systems are implemented by large financial services companies and some medical companies.

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Neural Networks

Artificial intelligence, cognitive modeling, and neural networks are information processing paradigms inspired by the way biological neural systems process data. Artificial intelligence and cognitive modeling try to simulate some properties of biological neural networks.

In the artificial intelligence field, artificial neural networks have been applied successfully to speech recognition, image analysis and adaptive control, in order to construct software agents (in computer and video games) or autonomous robots.

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Neural Networks

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Deep Learning/Machine Learning

Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces.

  • Wikipedia

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Real World Applications

  • Voice Recognition
  • Autonomous Vehicles
  • Digital Assistants (Alexa, Siri, Cortana)
  • Medical Diagnosis
  • Image Recognition
  • Robotics
  • Criminal Profiling
  • Financial Analysis
  • Loan Approval
  • Marketing

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Impacts

Positive

  • More accurate medical diagnosis
  • Life extension
  • Higher level of service and convenience
  • Less labour spent on menial tasks

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Impacts

Negative

  • Loss of control
  • Denigration of human value
  • Massive labour disruption and displacement
  • Massive social disruption
  • Totalitarian abuse
  • Loss of privacy
  • Social manipulation through the use of:
    • Fake news
    • Deep Fakes

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Artificial Intelligence

A guide by Scott Dyer

Part II Safety and Privacy

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Privacy and How to Protect It

Beware of Internet Service Providers

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Privacy and How to Protect It

Strengthen and Protect Your Login Credentials and Passwords

  1. Use pass-phrases instead of passwords
  2. Use two-factor authentication
  3. Lie when setting up password security questions.

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Privacy and How to Protect It

Use Google Alerts

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Privacy and How to Protect It

Check the WiFi you’re using

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Privacy and How to Protect It

Watch Your Browser

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Privacy and How to Protect It

Use a Private Search Engine

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Privacy and How to Protect It

Install a Virtual Private Network (VPN)

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Privacy and How to Protect It

Watch Out for Phishing Scams

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Privacy and How to Protect It

Encrypt Your Communications

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Privacy and How to Protect It

Watch What You Share on Social Media

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Privacy and How to Protect It

Update Early and Often