AI4E V3 Module 5

Summary

This module of 'AI for Everyone' addresses concerns about AI replacing human jobs and emphasizes AI's role as a tool to automate simple tasks, freeing up professionals for more complex projects. It discusses the importance of understanding AI without necessarily learning to code, and highlights the potential for AI to create new jobs. The script encourages lifelong learning and becoming AI-savvy in one's domain, rather than unrealistically attempting to become an AI engineer through short courses. It also introduces AI Singapore's 'AI Readiness Index' to help organizations assess their preparedness for AI adoption.

Takeaways

• 🧠 AI is powerful and useful, especially in image recognition, natural language understanding, and speech recognition.
• 🤖 AI is not about replacing humans but rather focusing on narrow tasks, and it will not displace humans for a long time.
• 👨‍💼 The impact of AI on jobs is a double-edged sword; while it may automate some tasks, it also creates new opportunities and roles.
• ⚖️ In the legal field, AI has demonstrated its capability to perform tasks much faster than humans, but it is seen as a tool to enhance rather than replace lawyers.
• 🛠 AI is a tool designed to automate simple tasks, allowing humans to focus on more complex and creative work.
• 🔢 The debate over AI replacing jobs is complex, with some reports predicting job loss and others forecasting job creation.
• 💡 AI can help individuals and organizations by automating mundane tasks, thus freeing up time for more productive work.
• 🛑 The '4D' in AI refers to tasks that are dirty, difficult, dangerous, and demeaning, which are prime candidates for automation.
• 🔧 Learning AI does not necessarily require mastering Python programming; there are GUI-based tools for data analysis without coding.
• 📈 For those interested in AI, focusing on understanding data, domain knowledge, and algorithms is more important than coding skills.
• 🌐 AI Singapore's Learn AI portal and other online resources offer opportunities to learn about AI without the need for extensive programming knowledge.

Q & A

What is the main concern people have about AI as mentioned in the script?

The main concern people have about AI, as mentioned in the script, is the fear of it replacing human jobs, which has been fueled by media portrayals.

How does the script describe AI's impact on the job market?

The script suggests that while AI can automate certain tasks, making them faster and more efficient, it does not necessarily mean job loss. Instead, it can free up time for humans to focus on more complex and creative tasks.

What was the outcome of the competition between top lawyers and an AI program in analyzing a non-disclosure agreement?

The AI program completed the analysis in 26 seconds, which was 200 times faster than the average 92 minutes taken by the lawyers. However, the lawyers were not scared of AI; instead, they saw it as a tool to focus on more complex projects and improve customer interactions.

What is the script's stance on the necessity of learning Python for AI?

The script discourages the idea that everyone needs to learn Python to engage with AI. It emphasizes that understanding AI, having clean data, and knowing one's domain are more important than programming skills for many roles.

What are the '4Ds' mentioned in the script in relation to AI?

The '4Ds' mentioned in the script refer to tasks that are good candidates for automation by AI: dirty, difficult, dangerous, and demeaning.

What is the script's advice for someone who wants to start doing AI without a background in programming?

The script advises such individuals to focus on understanding AI, using high-level tools for data analysis, and improving their domain knowledge rather than learning to code.

What is the role of the AI Readiness Index (AIRI) mentioned in the script?

The AI Readiness Index (AIRI) is a self-assessment tool created by AI Singapore to help organizations determine their readiness for AI adoption across various metrics such as employee AI literacy, management support, data readiness, and IT infrastructure.

Why did the speaker hire Kevin, and what does it imply about the job market for AI?

The speaker hired Kevin for his domain expertise in sales and marketing, not for his AI programming skills. This implies that domain knowledge combined with an understanding of AI is valuable in the job market, rather than AI programming skills alone.

What is the script's view on the necessity of learning Python for someone who wants to become an AI engineer?

The script suggests that while learning Python and the basics of AI can be beneficial, it is not a prerequisite for becoming an AI engineer. Instead, it emphasizes the importance of hard work, domain knowledge, and a deep understanding of AI concepts.

What are the four types of organizations in terms of AI readiness as categorized by AIRI?

The four types are: AI Unaware (unfamiliar with AI), AI Aware (savvy consumers of AI), AI Ready (digitally ready with a platform for AI use), and AI Competent (having in-house AI and data scientists who can build AI models).

What does the script suggest for organizations that are not ready for AI?

The script suggests that organizations should aim to move from being AI Unaware to AI Aware, becoming savvy consumers of AI applications and tools, without necessarily needing to become AI Competent or having their own AI development teams.

Outlines

00:00

🤖 AI's Impact on Jobs and the Importance of Adaptability

This paragraph discusses the potential controversy surrounding AI's impact on employment. It emphasizes that while AI is powerful for tasks like image recognition and natural language processing, it is still narrow in scope. The script addresses fears of AI replacing human jobs by sharing an example of AI enhancing lawyers' capabilities, allowing them to focus on more complex tasks. It stresses that AI is a tool for automation and will likely displace simple tasks, but also create new roles. The importance of having clean data and understanding one's domain is highlighted, along with the notion that learning AI does not necessarily require mastering Python programming. The paragraph concludes with a humorous note on the potential for managerial roles to be automated.

05:02

🛠️ The Role of Python in AI and the Reality of Becoming an AI Engineer

The second paragraph delves into the misconception that learning Python is essential for everyone to work with AI. It uses a quote from Chuck Russell to illustrate the idea that short courses do not make one an expert. The speaker argues against the self-delusion of becoming an AI engineer through brief training, especially for those without a background in hard sciences or programming. Instead, the focus should be on using higher-level tools to improve one's existing job. The paragraph introduces the story of Kevin, who transitioned to an AI consultant role by leveraging his domain expertise in sales and marketing, supplemented by his newly acquired knowledge of AI, highlighting the importance of passion and continuous learning.

10:08

📈 AI Readiness and the Path to Organizational Transformation

This paragraph introduces the concept of AI readiness, emphasizing the difference between being AI literate and AI competent. It outlines the AI Readiness Index (AiRY), a self-assessment tool created by AI Singapore to evaluate an organization's preparedness for AI adoption. The AiRY assesses factors such as employee AI literacy, management support, business use cases, data readiness, and IT infrastructure. The goal is not for all organizations to become AI competent but rather to evolve from being AI unaware to AI aware, understanding and utilizing AI solutions effectively. The paragraph also touches on the different types of organizations in terms of AI readiness and the importance of moving towards being AI aware.

15:14

🏢 Encouraging Organizations to Embrace AI and the Final Thoughts on AI's Future

The final paragraph wraps up the module by summarizing the key points discussed throughout the series. It reiterates that AI is here to stay and will automate tasks, freeing up time for more important work and potentially creating new jobs. The paragraph encourages individuals to understand AI and use it effectively in their roles without necessarily needing to learn programming. It also promotes the use of AI Singapore's Learn AI portal and other online resources for learning AI. The speaker hopes that sharing the course will help more people appreciate AI and its potential. The module concludes with a humorous yet reassuring statement that managers, and by extension other professionals, will not be replaced by AI but rather enhanced by those who use AI effectively.

Keywords

💡AI (Artificial Intelligence)

AI refers to the simulation of human intelligence in machines that are programmed to think and act like humans. In the video, AI is presented as a powerful tool that can recognize images, understand natural language, and perform speech recognition. It is also discussed in the context of job displacement and the creation of new job roles, emphasizing its impact on various professions.

💡Media Influence

Media Influence refers to the effect that media has on public perception and opinion. The script mentions that the media has instilled fear about AI in many people, which shapes the narrative around AI's societal impact and the need to understand it better to alleviate such fears.

💡Job Displacement

Job Displacement occurs when jobs are eliminated due to technological advancements. The video script discusses this in the context of AI, suggesting that while AI can perform tasks faster than humans, it does not necessarily mean job loss but rather a shift towards more complex and engaging work.

💡AI Literacy

AI Literacy is the basic understanding of what AI is and how it works. The script emphasizes the importance of AI literacy for employees within an organization, suggesting that having AI-literate staff is a step towards being AI aware and ready to adopt AI solutions.

💡Automation

Automation is the use of technology to perform tasks without human intervention. The video explains how AI can automate simple tasks, freeing up time for humans to focus on more complex projects, as illustrated by the example of AI scanning non-disclosure agreements faster than lawyers.

💡Python Programming

Python is a high-level programming language that is often used in AI development. The script addresses the common misconception that learning Python is necessary for everyone interested in AI, stating that for many roles, understanding AI concepts and using AI tools without programming is sufficient.

💡Data Science

Data Science is a field that uses scientific methods, processes, and algorithms to extract knowledge and insights from data. The video mentions data science in the context of AI, suggesting that having a background in data analysis can be beneficial but is not a prerequisite for utilizing AI tools.

💡AI Readiness

AI Readiness refers to an organization's preparedness to adopt and integrate AI technologies. The script introduces the AI Readiness Index (AiRY), a tool to assess an organization's level of readiness to adopt AI, indicating the importance of management support, real-world business use cases, and IT infrastructure.

💡Machine Learning

Machine Learning is a subset of AI that enables machines to learn and improve from experience without being explicitly programmed. The video script mentions machine learning in the context of the courses offered by AI Singapore, indicating its importance in understanding how AI systems work.

💡AI for Everyone

AI for Everyone is a course mentioned in the script designed to educate people about AI, emphasizing its potential and responsible use. The course aims to increase AI literacy and understanding, which is crucial for individuals and organizations to leverage AI effectively.

💡AI Singapore

AI Singapore is an initiative mentioned in the script that focuses on promoting AI literacy and providing resources for learning AI. It offers courses, tools, and a platform for individuals and organizations to understand and adopt AI technologies.

💡4D (Dirty, Difficult, Dangerous, and Demeaning)

The term 4D, as used in the script, refers to types of tasks that are ideal candidates for automation due to their nature. These tasks are either dirty, difficult, dangerous, or demeaning, and the script suggests that AI can help in automating such tasks, improving work conditions and efficiency.

Highlights

AI is a powerful tool that can recognize images, understand natural language, and perform speech recognition.

Media has instilled fear about AI, but it's essential to understand AI's capabilities and limitations.

AI is narrow in its capabilities and will not displace humans for a long time.

AI can automate tasks, allowing humans to focus on more complex and creative work.

In 2018, an AI program outperformed top lawyers in scanning NDAs, highlighting AI's speed and efficiency.

Lawyers were not scared of AI, instead, they saw it as an opportunity to focus on more complex projects.

AI is a tool to automate simple tasks, and its impact on jobs is a mix of displacement and creation.

New jobs and tasks will be created as AI automates existing ones, including jobs not yet invented.

You don't need to learn Python programming to do advanced data analysis or AI; GUI-based tools are available.

Data quality, domain understanding, and knowledge of algorithms are more critical than coding for AI use.

AI can help in various jobs without the need for programming, such as marketing and copywriting.

The 4D refers to tasks that are dirty, difficult, dangerous, and demeaning, which AI can help automate.

AI Singapore's AI Readiness Index (AIRY) helps organizations assess their readiness for AI adoption.

Organizations should aim to move from AI Unaware to AI Aware, understanding AI without necessarily developing it.

AI for Everyone course on AI Singapore's Learn AI portal is a good starting point for learning about AI.

AI will automate tasks but also create new opportunities; understanding AI is more important than programming for most.

AI Singapore will continue to add new content to Learn AI, focusing on real-world AI projects and solutions.

Managers and professionals in various fields will be replaced by those who use AI effectively.

Transcripts

welcome back to the last module of ai for everyone  

this could be a particular controversial module it  does not help that the media have instilled a lot  

of fear about ai into many people we have shown  how powerful and useful ai can be especially in  

the area of recognizing images understanding  natural language and speech recognition  

what does it mean then for people like you and me  will ai replace me in the future what can i do to  

remain relevant i hope by now you appreciate how  ai works and knowing that ai is really just mass  

it is however very narrow in terms of the  tasks that it can do very well ai will not  

be displacing us humans for a very long time in  this section we'll discuss how ai will impact you  

we'll talk about how to go about  learning ai and if you should learn  

python programming and lastly how to  determine how ai ready is your organization

in 2018 a group of top lawyers competed with an ai  program to scan a non-disclosure agreement or nda  

for issues the ai program completed the analysis  in 26 seconds compared to the 92 minutes the  

lawyers took on average this is 200 times faster  than a human lawyer however none of the lawyers  

were scared of the ai their responses were  allow them to focus on more complex projects  

freed up their time to spend with their customers  and one very sharp lawyer commented that in the  

future it would be lawyer plus ai versus lawyer  plus ai and if you are not using ai you will lose

it is important to remember that ai is a tool to  automate tasks the simpler a task is to automate  

the more likely that it will be done by a robot or  a computer remember back to the very first module  

when we spoke about email spam the ai powered spam  engine have automated the task of spam detection  

and given you back the 5 10 20 minutes of your  life so that you can do more productive work  

and with the mundane and  boring tasks automated away  

you can spend more time on productive or new tasks

well hopefully the boss will get new tasks  otherwise he may be the one automated away

okay this slide is about the 4d and  for singaporeans no it is not that 4d  

i'm not going to show you a ai system to  predict this weekend's 4d number what are  

some of the tasks which we want to automate away  whether with simple robots or smart ai robots  

yes tasks that are dirty  difficult dangerous and demeaning

for every chart or report you read that  claims x millions jobs will be lost to ai  

you can find another report which says ai  will create one million jobs so who is right

well actually both as tasks and jobs  disappear new jobs and tasks will be created  

to replace it there are jobs not yet  invented and tasks not yet defined  

who would have thought that today you  can be a youtube millionaire no real  

job in the traditional sense but you can make  a decent living by recommending products online

one of the popular questions we get asked  

so if i want to start doing ai do  i need to learn python programming  

no you do not yes you heard me right you do not  in fact you can do very advanced data analysis  

and even basic to advanced image  or text analysis with zero coding  

there are many gui based tools which allows you  to analyze your data with no coding what you need  

to focus on instead is data you need to have good  clean data two you need to understand your domain  

and three you need to go and read up on your maths  and stats and understand algorithms what they  

expect as inputs and what the outputs mean and  then you can use a drag and drop tool to do the  

ai the screenshots you see here is from the orange  data mining tool a free and open source toolkit  

which is very powerful and complete as a toolkit  for someone who just want to analyze data  

with powerful machine learning  algorithms without programming  

so you may be asking why are we discouraging  you from learning python programming to do ai  

a few years ago data scientist was considered the  new sex symbol and everyone wanted to become one  

today everyone wants to become an ai engineer  i like this statement from chuck russell  

the eight-week course you took on coursera  or the data science bootcamp you attended  

no more makes you a data scientist than  my recent golf lessons make me a golf pro  

i believe in life-long learning i'm all for  self-improvement but this is self-delusion  

let me explain the realities if you are pre-med in  your late 30s and 40s and want to jump into the ai  

bandwagon and think that you can go do a bootcamp  for eight weeks and learn python programming  

and ai and then find a job as a data scientist  or ai engineer then you are misinformed i'm not  

saying you cannot you can if you are already doing  data analysis in a tool like orange or spss or sas  

and you need to learn python to extend your skills  or if you're a software developer sure go ahead  

or if you are super super passionate  and self-directed it is possible  

we'll show you an example later but if  you have never done programming before  

and have no training in a hard science or  is not comfortable with maths and stats  

but hope to become a data scientist with  this python and data scientist bootcamp  

and then land a job it is not realistic recall  we want you to be savvy consumers of ai tools  

so instead of learning python which will not help  you at all in your job learn to use a higher level  

tool to do your existing job better and smarter  if you are marketing executive have you looked  

at google analytics or tools like mailchimp which  allow you to do a b testing to better analyze and  

understand how your customers are interacting with  you so that you can send targeted adverts to them  

you do not need programming here or if you are  a copywriter have you used tools like grammarly  

to reduce errors and write better or one of  those article generation tools to help you  

generate slightly different articles faster  ai companies have created many of such tools  

for non-programmers to use and consume the ai  models without programming often you may not even  

know that there is ai at work but if you die want  to learn python and ai because you are interested  

sure it can be done it won't be easy let's  watch this video what does my future look like  

i always imagine retiring and traveling around the  world that's what i would say if you asked me in  

the past now i'm an ai consultant i help companies  make use of this new technology to improve their  

business performance and you know many companies  they want to use ai but they don't know how  

so i give them advice and help them explore  opportunities customers have problems to solve  

and we have solutions for them but of course it is  not as simple my name is kevin and as you can see  

i'm not very young and my colleagues are not very  old but if you think about it we are the same we  

write code we wear t-shirts and jeans to work and  we drink bubble tea except maybe for the wrinkles  

i spent more than 25 years in sales and  marketing and it was very comfortable  

things like checking code i wouldn't know how  to do this is where i had my first technical  

interview in the past i was the one interviewing  people but now i was the one being interviewed  

it was totally out of my comfort zone during my  time we usually have just one professional skill  

and that will see us through our entire career but  now i have to learn technical skills like python  

r revise my math and many other things i  think passion is the most important thing in  

learning new skills let me show you  where we come up with all the good ideas  

actually my ex-colleague asked me aren't  you afraid of going back to school  

well this is nothing like school the program  under the tesla initiative gave us customers and  

real-life problems to solve and there were  great mentors and colleagues to work with  

we were also given a stipend and that financial  support allow us to focus on our training  

so you ask me what my future looks  like there's so many possibilities  

but i know it will be exciting and  bright and i'm just getting started

the key here is that i did not hire  kevin for his ai programming skills  

instead i hired kevin because of his  domain expertise in sales and marketing  

and now with the added knowledge of knowing how  ai works he can better engage the organizations  

especially smes here in singapore to  guide them in their ai adoption journey  

so if you want to learn some python programming  and the basics of ai sure you can but do not  

hope to land a job as an ai engineer instead you  should focus on your current domain the skills you  

have and add on the new knowledge of ai and how  it can help you to do your current work better  

often you do not need to learn to program in  python at all so it is what i call plus scaling  

it is about acquiring the basic knowledge in ai  to become a better accountant a marketer a lawyer  

an engineer and to be able to leverage the ai  tools that is available for the accountant the  

marketer the lawyer and the engineer but what  if you want to convert and become an ai engineer  

yes it is entirely possible but it is up to you  to put in the hard work to learn what it takes

kevin did not mention it in his video but he spent  three years studying his son's university maths  

and stats textbook 3 years learning from various  online resources to be able to get to a sufficient  

technical level to join the ai singapore's  ai apprenticeship program graduates of the ai  

apprenticeship program often get hired into data  science and ai roles as engineers and scientists

well for those who are watching this you already  know about ai singapore's learn ai portal  

feel free to explore the other courses here and  if you want to start learning python programming  

and programming basic ai system again please be  reminded not necessary to become an ai engineer  

but so that you get a good understanding of how  ai system works and you won't have wood pulled  

over your eyes by some ai vendor you can sign  up to ai for industry a 140 hours course which  

covers the basics of machine learning and data  science in ai singapore will continue to add  

new content to learn ai but my team will focus  on sharing real-world ai projects we have done  

so you learn the real-world problems and issues  faced we will also share the use of our pre-built  

ai solutions the ai breaks so that you can make  use of them in your projects if suitable besides  

ai singapore there are many other good resources  online such as intel ai academy google ai  

microsoft ai school coursera udacity and so on but  ai singapore's learn ai is a good place to start

we have covered how ai will impact you as an  individual what about the organization you  

work for here in ai singapore we have worked  on ai projects with many government agencies  

mncs large enterprises smes and startups and  we hear the same questions over and over again  

how do i know whether my organization is ready  for ai what are the factors i should consider  

before embarking on ai projects how can i ensure  we have the right data for our ai use cases do  

my employees need to know ai before using it what  are the things i should do to become more ai ready

in air singapore we have created the ai readiness  index or airy for short it is a 15 minutes  

mcq self-assessment you can take to determine  how ready your department or company is for ai  

we evaluate your company  along the following metrics  

does your organizations have employees who are  ai literate not necessarily ai developers but  

employees who understand what is ai and  how it works for example someone who has  

attended a course like ai for everyone does the  organization have management support to do ai  

are there real-world business use cases with  qualified roi for the ai projects you want to do  

does the organization have good  and ready data that ai can use  

and lastly does the organization have the it  infrastructure to support ai in airy we categorize  

organizations into four types the ai unaware  organizations who are unaware of ai in general  

and wait for vendors to recommend ai solutions  to them ai aware organizations who are savvy  

consumers of ai and actively seek out digital  and off-the-shelf ai solutions for their own use  

ai ready digitally ready organizations who may  have a digital platform for their business and  

data is in a format where an ai model can be built  by solution providers or by in-house it teams  

using pre-built pre-trained ai models or ai apis  from cloud providers and finally ai competent  

these are organizations that typically have ai  and data scientists in r d teams who can build ai  

models from the ground up now it is important to  note that we do not want all organizations to go  

from ai unaware and become ai competent or even ai  ready it is not practical and does not make sense  

what we would like to see is for organizations  to go from ai unaware to ai aware  

and if you are only a consumer of ai solutions  and stay in ai aware that is perfectly fine

for example my favorite local coffee joint jacun  i do not want them to become ai competent and have  

a team of ai engineers who do develop their own  ai models how will it help them in their business  

it does not make sense instead i hope they will  become ai aware and be savvy consumers of ai  

applications on the clock for example and use ai  powered tools to help them increase their sales  

for example a smarter loyalty program  please visit the aerie website to learn more  

and to do the self-assessment we have now come  to the last module of ai for everyone over the  

last five modules we have discussed what is ai  how ai works ai is not magic it is just maths  

what can ai do responsible use of ai and finally  ai jobs and you we share that ai is here to stay  

and it will automate away tasks give you bad  time and help you to do more important things  

it will also create new jobs some of these jobs  will require deep skills in ai however many  

will only require that you know what is ai and  how to use ai and data effectively in your job  

without the need to do programming not everyone  needs to learn python programming to write the  

ai wave understanding how to use ai understanding  how to get clean quality data and understanding  

your domain is more important than learning to  program in python especially for the pmats ai  

singapore's learn ai is a good place to start your  ai learning journey but we also encourage you to  

explore other online course providers or sign up  to one of our local polytechnics or universities  

that have continuing education training classes  in ai and data science to improve yourself  

as an organization ai singapore's ai readiness  index or arie can be used to quickly in 15 minutes  

to help your organization understand  where it is in terms of its ai maturity  

we want our organization to move from ai  unaware to ai aware i hope you have enjoyed  

this course and have a better appreciation of  what ai is please do share this course with  

your friends colleagues and family members  to help them learn and appreciate ai oh

one last slide managers will be replaced by ai  you can replace managers here with lawyers doctors  

accountants engineers the statement may be scary  and the main and the media would want you to think  

so fortunately it is not exactly true managers  will be replaced by managers who uses ai thank you