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Week 1 - Video 1 - Introduction

By SK Collectives

Summary

## Key takeaways - **AI's Economic Impact: Trillions by 2030**: Artificial intelligence is projected to generate an additional 13 trillion US dollars in value annually by 2030, with significant impact expected beyond the software industry in sectors like retail, travel, and manufacturing. [00:50] - **AI is Narrow, Not General (Yet)**: Current AI advancements are primarily in Artificial Narrow Intelligence (ANI), which performs specific tasks, not in Artificial General Intelligence (AGI) capable of human-level versatility. Fears of 'evil killer robots' are largely unfounded given the distant timeline for AGI. [02:10], [03:20] - **AI's Reach: Few Industries Untouched**: It's challenging to identify industries where AI will not have a significant impact in the coming years, even extending to fields like hairdressing, where specialized robotics could potentially automate complex tasks. [01:22], [01:48] - **Focus on Realistic AI Capabilities**: To gain a realistic understanding of AI, it's crucial to examine both its successes and failures, rather than solely focusing on success stories, enabling more accurate judgments on technology application. [04:51], [05:03] - **Course Covers AI Basics to Strategy**: This course provides a comprehensive understanding of AI, from defining terminology and realistic capabilities to building AI teams, developing strategies, and navigating ethical considerations. [00:09], [06:17]

Topics Covered

  • Is AI's true economic value shifting beyond software?
  • Is any industry truly safe from AI's impact?
  • Why is 'killer robot' fear based on a false premise?
  • Why must we learn AI's limitations, not just its successes?

Full Transcript

welcome to a I thought everyone

AI is changing the way we work and live

and this non-technical course will teach

you how to navigate the rise of AI what

do you want to know what's behind the

buzzwords or what do you want to perhaps

use AI yourself either in the personal

context or the corporation or other

organization this course will teach you

how and if you want to understand how a

is affecting society and how you can

navigate that you also learn that from

this course in this first week we'll

start by cutting through the hype and

giving you a realistic view of what AI

really is let's get started you probably

seen news articles about how much value

a is creating according to a study by

McKinsey Global Institute a is estimated

to create an additional 13 trillion US

dollars of value annually by the year

2030

even though AI is already creating

tremendous amounts of value into

software industry a lot of the value to

be created in the future lies outside

the software industry in sectors such as

retail travel transportation

automotive materials manufacturing and

so on I should have a hard time thinking

of an industry that I don't think AI we

have a huge impact on in the next

several years my friends and I used to

challenge each other to name an industry

where we don't think AI web a huge

impact and my best example was the

hairdressing industry because you know

how to use AI robotics to automate

hairdressing but I once set this on

stage and one of my friends who is a

robotics professor was in the audience

that day and she actually stood up and

she looked at me in the eye and she said

you know Andrew most people's hairstyles

I couldn't get a robot to cut their hair

that way but she looked me and said your

hairstyle and you know that a robot can

do there is a lot of excitement but also

a lot of unnecessary hype about AI one

of the reasons for this is because AI is

actually two separate ideas almost all

the progress we are seeing in the AI too

is artificial narrow intelligence these

are a is that do one thing such as a spa

speaker or a self-driving car or AI to

do web search or air applications in

farming or in a factory these types of

AI are one-trick ponies but when you

find the appropriate trick this can be

incredibly valuable

unfortunately AI also refers to a second

concept of AGI or artificial general

intelligence that is the goal to build

AI they can do anything a human can do

or maybe even be super intelligent and

do even more things than any human can

I'm seeing tons of progress in a ni

artificially narrow intelligence and

almost no progress toward AG AI or

artificial general intelligence both of

these are worthy goals and unfortunately

the rapid progress in a ni which is

incredibly valuable that has caused

people to conclude that there's a lot of

problems in AI which is true but that

has caused people to falsely think that

there might be a lot of progress in AGI

as well which is leading to some

irrational fears about evil killer

robots coming over to take over humanity

any time now

I think AGI is an exciting golf and

research to work on but it'll take most

whole technological breakthroughs before

we get there and it may be decades or

hundreds of years or even thousands of

years away given how far away AGI is I

think there is no need to unduly worry

about it in this week you will learn

what a ni can do and how to apply them

to your problems later in this course

you also see some case studies of how

Ani these one-trick ponies can be used

to build really valuable applications

such as smart speakers and self-driving

cars in this week you will learn what is

AI you may have heard of machine

learning and the next video will teach

you what is machine learning you also

learn what is data and what types of

data are available but also what has the

data on

not valuable you learn what it is that

makes a company and a company or an AI

first company so that perhaps you can

start thinking if there are ways to

improve your company or other

organizations ability to use AI and

importantly you also learned this week

what machine learning can and cannot do

in our society newspapers as well as

research papers tend to talk only about

the success stories of machine learning

and AI and we hardly ever see any

failure stories because they just aren't

as interesting to report on but for you

to have a realistic view of what AI and

what machine learning can I cannot do I

think is important that you see examples

of both so they can make more accurate

judgments about what you may and maybe

should not try to use these technologies

for finally a lot of the recent rise of

machine learning has been driven through

the rise of deep learning sometimes also

called

neural networks in the final two

optional videos of this week you can

also see an intuitive explanation of

deep learning so that you will better

understand what they can do ask early

for a set of narrow Ani toss so that's

what you learn this week and by the end

of this week you have a sense of AI

technologies and what they can and

cannot do in the second week you learn

how these AI technologies can be used to

build valuable projects you learn what

it feels like to build an AI project as

well as what you should do to make sure

you select projects that are technically

feasible as well as valuable to you or

your business or other organization

after learning what it takes to build AI

projects in the third week you learn how

to build AI in your company in

particular if you want to take a few

steps toward making your company good at

AI you see the AI transformation

playbook and learn how to build AI teams

and also build complex AI products

finally a is having a huge impact on

society

in the fourth and final week you learn

about how a I systems can be biased and

how to diminish or eliminate such biases

you also learn how a eye is affecting

developing economies and how AI is

affecting jobs and be better able to

navigate this rise of AI for yourself

and for your organization by the end of

this four-week course you'll be more

knowledgeable and better qualified than

even the CEOs of most large companies in

terms of your understanding of AI

technology as well as your ability to

help yourself or help your company or

other organization navigate the rise of

AI and so I hope that after this course

you'll be in a position to provide

leadership to others as well as they

navigate these issues now one of the

major technology is driving the recent

rise of AI is machine learning but what

is machine learning let's take a look in

the next video

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