What is the overview of Narrow AI?

I am needing the reading sections of the lesson for my notes for completion.

The way I take my notes is I summarize the entire section by turning the heading into a question and incorporate the bolded terms (if found) within the section to supplement my understanding. THE MORE CONCISE THE BETTER!

I have attached the following materials:
Module 3 notes (the best format I have for this course on how I take notes. Take note, you DONT have to copy the Learning Objectives and the sections leading up to the reading sections.)
Module 11 class lesson (This is where Id like you to take notes on my behalf)

Here are my particular questions for the module of Technology and the Future:

What Kind of Future do You Want? Define and incorporate the following terms while answering the summarized question: Computational thinking, and map might not match the territory
What is the New Electricity? Define and incorporate the following terms while answering the summarized question: automata, artificial intelligence (AI), cascading effects, super-intelligence, and computational mindset
Tranhumanism:
What is Human 2.0? Define and incorporate the following terms while answering the summarized question: tranhumanism, transhumanists, molecular nanotechnology, transhumanism and post-humanism (Speciifically, what are the definitions, the significance and what are the differences between them), Moores Law (Specifically, what does this law constitute, and the importance of Moores Law), miniaturization (specifically,what is it and how its related to Moores Law), contingent (specifically, what is it and how its related to Moores Law), and self-fulfilling prophecy (specifically, why its relevant to Moores Law)
What is The Singularity and what does it entail? Why is it considered controversial and garners attention from high-profile inventors. Define and incorporate the following terms while answering the summarized question: the Singularity hypothesis, and artificial superintelligence
Artificial Intelligence
What goes into Researching AI? What are the three factors of narrow AI systems? What is General Adversarial Networks (GANs) and how does it advance AI? Define and incorporate the following terms while answering the summarized question: narrow AI, artificial intelligence (specifically, what are they and how do they differ from each other), Pattern Recognition, Machine Learning (ML), Neural Networks, Deep Learning, Computer Vision, and Sentiment Analysis.
Narrow AI
What is the overview of Narrow AI? Define and incorporate the following terms while answering the summarized question: narrow AI, expert systems, AI winter, knowledge base, inference engine, business-facing, and consumer facing
What is the consumer-facing of Narrow AI?
What are Digital Personal Assistants? Define and incorporate the following terms while answering the summarized question: deference
What is Facial Recognition? Define and incorporate the following terms while answering the summarized question: social graph, biometric
What is Augmented Reality? Define and incorporate the following terms while answering the summarized question: heads-up display (HUD), and intrusive advertising
How does machine learning help with Music?
What is the business-facing of Narrow AI? Define and incorporate the following terms while answering the summarized question: supply chains, Fourth Industrial Revolution, automatic guided vehicles, chaotic storage, self-driving cars, high-frequency trading and it has resulted in an algorithmic arms race
AGI
What is Artificial General Intelligence? Define and incorporate the following terms while answering the summarized question: artificial general intelligence, human-like machine intelligence, the Turing Test and how the ELIZA is related, moving benchmarks, intelligence from the concept of consciousness
What is Pattern Recognition? Define and incorporate the following terms while answering the summarized question: hyperreality, technology end up reproducing the world they describe, models end up shaping the world, rather than representing it, pattern recognition, apophenia, automated decision-making, phantom objects, artificial stupidity, automation bias, death by GPS
What goes into Building and Deploying AI? Define and incorporate the following terms while answering the summarized question: cleaning data, training data, and multigenerational
Diversity in Design
Should AI be Democratized? Define and incorporate the following terms while answering the summarized question: democratic AI, coded gaze, training data, meritocracy, achieved status, ascribed status
What is The Paradox of Meritocracy? Define and incorporate the following terms while answering the summarized question: nepotism, the paradox of meritocracy, algorithmic transparency, implicit bias

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