Media & Information Literacy - Prefinals

• Artificial Intelligence

  • Simulation of human intelligence by software-coded heuristics
  • Branch of computer science dealing with the simulation of intelligent behavior in computers
  • Capability of a machine to imitate intelligent human behavior
• Examples of Artificial Intelligence

  • Visual perception
  • Speech recognition
  • Decision-making
  • Language translation
• 3 Misconceptions about AI

  1. AI is just like human intelligence
  2. AI can think and feel
  3. AI is always right
• AI is just like human intelligence - it is not true, AI systems are made to do specific jobs and do not have the same cognitive skills and knowledge as people
• AI can think and feel - computer programs do not have minds or feelings, memories, self-awareness, or emotional knowledge
• AI is always right - AI models can go wrong if they aren’t taught correctly or if the data used is skewed or missing
• Alan Turing Test (1950)- machine tricks human into thinking it’s a human, then it has intelligence
• John McCarthy (1956) - introduces the term ‘Artificial Intelligence
• Joseph Weizenbaum (1964)- chatbot is capable of holding conversations with humans
• Deep Blue (1997) - A chess-playing computer defeats the chess champion Garry Kasparou
• AiBO (1999) - the first robot pet dog Sonny launches whose personality develops over time
• Roomba (2002) - firs mass-produced robotic vacuum cleaner that learns to navigate homes
• iPhone Siri (2011) - Apple integrates a intelligent virtual assistant
• Watson (2011) - question answering computer won 1st place in the TV show Jeopardy
• Alexa (2014) - Amazon launches an intelligent virtual assistant that completes shopping tasks
• GPT 3 (2020) - tool for automated conversations is introduced
• ChatGPT (2022) - available for public testing
• (1950 - 1970) Artificial Intelligence - allows a computer to mimic human intelligence

  • Development of smart systems and machines that carry out tasks that requires human intelligence
• (1980 - 2000) Machine Learning - algorithms are able to learn without explicitly programmed to do so

  • Creates algorithms that can learn from the data and make decisions based on patterns observed
  • Require human intervention when decision is incorrect
• (2010 - 2030) Deep Learning - AI models of high level abstractions in data by using deep graph with many processing layers

  • Uses artificial neural network to reach accurate conclusions without human intervention
• 3 Types of Machine Learning

  1. Supervised Learning
  2. Unsupervised Learning
  3. Reinforcement Learning
• 5 Types of Machine Learning

  1. Contextual Awareness
  2. Voice Recognition and Voice Command
  3. Face Tracking Technology and Interactivity
  4. Robotic Embodiment
  5. Real-time Language Processing
• Contextual Awareness 

  • AI systems’ ability to understand a material in a certain context
  • AI system can change how they produce information e.g. ChatGPT
• Voice Recognition and Voice Command 

  • Voice and Tone Recognition refers to the technology that enables machine to analyze and understand characteristics of human intelligence
• Face Tracking Technology and Interactivity 

  • The moves of a person’s face are watched and recorded
  • Make things more interactive and better for users e.g. Jibo (2015)
• Robotic Embodiment 

  • AI is more than just a piece of software, it is real and can connect with it surroundings through sensors, motors, and movement
• Real-time Language Processing 

  • Refers to the speed which AI systems can read and understand or reply to human words
• Artificial Intelligence - ability of a computer to perform tasks that require human intelligence
• AI Application - computer visions and robotics are some of its examples
• Intelligence - ability to gain and apply knowledge and skills to perform tasks
• John McCarthy - Father of AI
• Turing Test - determine whether a machine could or could not demonstrate the artificial intelligence
• Meta - beyond
• Metaverse - beyond universe
• Metaverse - Your own designed living space
• Metaverse

  • Convergence of physical and virtual space through computers and enabled by immersive technologies like virtual reality, augmented reality and mixed reality.
  • Users can interact with computer-generated environments, items, and other users in real time
• 5 Things the Metaverse Would Change

  1. Enhanced Communication
  2. New Economic Opportunities
  3. Innovations in Educating and Training
  4. Entertainment Evolution
  5. Cultural and Social Impact
• Enhanced Communication - virtual spaces make conversation more immersive
• New Economic Opportunities - building a strong virtual economy and new business possibilities like virtual real estate, and virtual products
• Innovations in Educating and Training - learn and explore with the help of virtual classes, simulations and interactive spaces