Survival Strategies in the Era of AI Taught by Stanford | Stanford AIRE Director
Summary
TLDRリー・ジャンは、スタンフォード大学のAIRE プログラムのディレクターです。彼はAIとロボット工学の時代を迎えており、次世代に適切な教育方法を見つけることに情熱を燃やしています。AIシンキングを早期から教え、人間とAIの能力の違いを理解させ、AIを活用しながら革新的な発想力を養う必要があると説きます。また、デザイン思考の手法を用いて体系的にイノベーションを生み出す方法を教えています。ChatGPTなどの最新テクノロジーの影響を受け入れ、教育システムの変革を模索する重要性を強調しています。
Takeaways
- 🤖 仕事が機械にできる場合、その作業ははるかに低コストで行えるという事実。
- 🌐 AIは将来、多くの仕事をなくす可能性があるが、それによって新しい可能性も開かれる。
- 📚 現代の子供たちは以前と比べて多くの情報にアクセスできるが、教育方法は大きく変わっていない。
- 👩🏫 スタンフォードAIREプログラムのディレクターであるLi Jiangは、AIとロボティクスの時代における次世代の教育方法を模索している。
- 🛠️ AI Thinking(AI思考)を早期から教育に取り入れることの重要性と、それが人間とAIの違いを理解するのに役立つこと。
- 🔬 AIは構造生物学などの科学研究分野において、人間ができなかったことを成し遂げる能力を持っている。
- 🎓 スタンフォード大学ではデザイン思考を通じて、体系的にイノベーションを行う方法を教えている。
- 🧠 問題を正確に定義し、ユーザーのニーズに共感することがイノベーションの鍵である。
- 💡 ChatGPTのような技術は、教育の方法を変え、学生たちに新しい学習の道を提供する。
- 🚀 AIとロボット技術に対する情熱は、子供の頃の夢からインスピレーションを受けている。
- 🌟 理想的な未来の教育システムを見つけ出すことが、次世代に対する深い影響を持つ究極の目標である。
Q & A
リ・ジャンは何者でどのような仕事をしているのでしょうか?
-リ・ジャンはスタンフォード大学のAIRE(AI Robotics Education)プログラムのディレクターです。AIとロボット工学時代の次世代教育のあり方を探求することに熱心に取り組んでいます。
AIが多くの仕事を置き換えていく中で、人間にとって重要なことは何でしょうか?
-ゼロから新しいものを生み出すイノベーション能力が人間にとって重要です。リ・ジャンは、AIの情報提供能力を活用しつつ、人間ならではの創造性を育成することが肝心だと考えています。
「AIシンキング」とはどのようなものでしょうか?
-「AIシンキング」には3つの重要な要素があります。1)AIの一般的な仕組みを理解すること、2)人間とAIの能力の違いを見分ける力を身につけること、3)AIを活用して作業を行う能力を持つことです。
スタンフォードでは「デザイン思考」という手法を用いてイノベーション力の育成を図っているそうですが、具体的にはどのようなプロセスなのでしょうか?
-デザイン思考には、1)共感、2)問題定義、3)アイデア出し、4)プロトタイプ作成、5)テストとフィードバックの5つのステップがあります。この反復プロセスを通じて、的確な問題設定とその解決策を見出していきます。
リ・ジャンが最も興味を持っているAI/ロボット技術は何でしょうか?
-リ・ジャンが最も興味を持っているのは、ChatGPTのような自然な対話と文章生成ができるAI技術です。教育の在り方に大きな影響を与えるため、ChatGPTの活用方法について生徒と議論するよう課題を出しているそうです。
リ・ジャンの人生の夢は何でしょうか?
-リ・ジャンの究極の目標は、AIとロボット時代に適した理想的な教育システムを見出すことです。教育は次世代に甚大な影響を与えるため、この目標の達成に熱心に取り組んでいます。
AlphaFoldはどのような功績を成し遂げたAIなのでしょうか?
-AlphaFoldは世界中で知られている100-200万種類のタンパク質のほとんどの構造を予測し、公開データベースに収録しました。かつて人間では1%もわかっていなかったタンパク質構造を、AIが短期間で解明したのです。
リ・ジャンが子供の頃の夢は何でしょうか?
-リ・ジャンは子供の頃からトランスフォーマーのオプティマス・プライムに憧れ、かっこいいロボットを作ることが夢でした。子供の頃の夢を大切にし、それを実現する手助けをすることが重要だと考えています。
ネパールの新生児Incubatorプロジェクトはどのようなプロセスを経て成功したのでしょうか?
-最初はカリフォルニアで設計しようとしましたが、現地の実情を知る「共感」の段階が欠けていました。現地訪問で問題を正しく定義し直し、簡易で安価なIncubatorを開発することで、プロジェクトは成功を収めました。
AIが教育に与える影響とは具体的に何でしょうか?
-ChatGPTのような AI が生徒の課題や論文執筆を支援できるようになったため、教師側は AI の活用方法を検討する必要があります。リ・ジャンは生徒にChatGPTを使った課題を与え、その感想を聞くことで、AI が教育に及ぼす影響を探っています。
Outlines
🤖 AIとロボット工学の重要性
このパラグラフでは、AIとロボット工学の重要性が強調されています。人工知能(AI)が多くの仕事を代替し、教育システムを変革することが述べられています。また、AIの発展に伴い、次世代に対する教育方法を再考する必要があると主張しています。AIは非常に強力なツールであり、それを活用しない場合は競争力を失うため、早期からAIの思考方法を教育することが重要だと説明されています。AIの思考方法には、AIの仕組みの理解、人間とAIの能力の違いの認識、AIとの協働の3つの重要な点があると述べられています。
🧩 デザイン思考によるイノベーション教育
このパラグラフでは、スタンフォード大学で行われているデザイン思考による創造性・イノベーション教育について説明されています。デザイン思考では、ユーザーの理解(共感)、問題の明確化、アイデア出し、プロトタイプ作成、テストとフィードバックを繰り返すプロセスを通じて、革新的なアイデアを生み出す方法が教えられます。実例として、ネパールの乳児用保育器の開発プロジェクトが紹介され、当初の問題設定が間違っていたことに気づき、問題を正しく再定義することでより良い解決策を導き出せたことが示されています。
Mindmap
Keywords
💡AI (人工知能)
💡ロボット工学
💡教育の変革
💡AI思考
💡デザイン思考
💡創造性
💡ChatGPT
💡構造生物学
💡革新 (イノベーション)
💡次世代
Highlights
If a job can be done by machines, let the machines do it and focus on the human part of innovation from 0 to 1.
AI will make a lot of jobs disappear in the future, so we need to push to change the way we teach kids.
We need to start teaching AI Thinking as early as possible, which involves understanding how AI works, differentiating between human and AI abilities, and learning to work with AI.
AlphaFold from DeepMind predicted the structure of almost all proteins in the world, demonstrating how machines can excel at tasks once thought to be exclusive to humans.
Creativity and innovation can be systematically taught through Design Thinking, which involves empathizing, defining the problem, ideating, prototyping, and iterating.
ChatGPT's ability to converse naturally and write code has surprised many, indicating the potential impact of AI on education and the need for teachers to adapt.
Instead of avoiding AI, it's important to understand and work with it, as it's a powerful tool that cannot be blocked.
Inspiring dreams and interest in AI and robotics at an early age is crucial, as it's easier to inspire young minds before they lose their curiosity.
The ultimate goal is to find the ideal education system for the future, as education has a profound impact on the next generation.
Design Thinking involves iterative steps of empathizing with users, defining the problem, ideating solutions, prototyping, and testing with users.
The example of designing incubators for Nepal illustrates the importance of proper problem definition and iterative redesign in Design Thinking.
AI and robotics have the potential to make many jobs disappear, necessitating a focus on human innovation and creativity.
Understanding the difference between human and AI abilities is crucial, as machines can excel at certain tasks while humans have an edge in innovation and creativity.
Transformers and Autobots inspired the speaker's childhood dream of creating cool robots, highlighting the importance of fostering dreams and interests in young minds.
Instead of ignoring or avoiding new technologies like ChatGPT, educators should embrace and understand them to adapt their teaching methods accordingly.
Transcripts
If a job can be done by human and it cost $1,000.
Because you can't really calculate faster than the machines.
Then you let the robot do it. It will just cost roughly around $200.
AI will make a lot of jobs disappear in the future.
How much more information kids get nowadays
It's just completely different now
We still use the same way to teach them.
And then the more I think about it, the more I feel like
we need to push to change that.
I'm Li Jiang.
I'm the director of the Stanford AIRE program.
You know, the era of AI is in the near future.
And I would say it's actually now it's started already.
I'm passionate trying to figure out what is the right way
of teaching the next generation in the era of AI and robotics.
We have a lot of people are afraid of AI, so they try to avoid this.
They're like, Oh, I want to stay away from that.
But the thing is that that's probably one of the most powerful tool
that we have ever invented.
If you don't use these tools, then you cannot really compete
with anyone like other people.
I think there's a few things we need to change.
One is that we need to start a teach AI Thinking as early as possible.
AI Thinking will allow them to know the difference between human and AI.
And then the human part is really the innovation part from 0 to 1.
That's where I cannot do a good job. We need to focus on that.
There's three important thing about AI Thinking
With the first thing, you need to have general understanding of how AI works
In the past, AI is basically mostly based on the rules or the specific algorithms
that we write in the computer.
The humans set the rules
And then now,
we developed a different algorithms
like deep learning, reinforcement learning based on data,
because we have much more powerful computers that can handle a way, more data,
and then they will develop and trying to find the most optimized solution based on the current data.
And then the more data you have, the better solution you usually will get
if you do the first one.
The second one is that you will gain the ability to differentiate
the human ability versus the machine's ability or AI's ability.
I think probably most of the audience don't know.
There's a scientific research area called structural biology.
Scientists in this field study the structure of a protein.
Proteins are so important for all the living creatures.
The whole world have like 100 to 200 million proteins.
This research area, like scientists,
a lot of them are focusing on determining the structure of these proteins.
We humans only find just a very little number of these proteins, like the structures of it
less than 1%.
However, this AI is called AlphaFold.
That's from DeepMind.
In the past two years, AlphaFold predict like the structure
of almost all the proteins in the world,
and they put it in the open database online.
So a job, once the machines can do it, then let the machines do it,
and then we focus on the human part
after you get the first two.
The third one is you will have the ability to work with AI
And use AI to help you to accomplish other jobs.
There is critical part is from 0 to 1, which basically that we invent something that doesn't exist before
and we probably can do 0 to 1 better
with AI providing a lot of information and things like that.
So we should prepare our kids to learn how to innovate,
to generate new ideas, to use AI to help us, that kind of stuff.
Creativity, It's a..
it's something that is really hard to teach
or some people think creativity cannot be taught
how to teach people creativity.
This thing get changed by the Stanford Design Thinking
We can use this method to teach you how to systematically to make innovations.
Design Thinking is a methodology that we use here at Stanford to teach
people how to make innovations,
and we do not make you
as innovative or creative as Steve Jobs or Elon Musk
However, we can use this methodology to make you
more creative or innovative than yourself.
So design thinking has steps that you can follow.
The first step is empathize.
First, you have to understand who you're inventing for
are you inventing for your parents or you're inventing for
children who are studying in the school?
You have to understand who are the users.
Then you empathize with them, especially their emotion.
And then you go to the second step, which is called Define
A lot of people, They didn't have the right problem to start with.
Then you have to define that problem clearly
and then you go to the third step, which is ideation, which is using brainstorming
to generate a lot of ideas, and then you kind
and then you kind of get feedbacks from the users.
You pick the good ones to prototype.
After you do the prototype, which is the fourth step,
you do test what the user and then you get feedback.
Maybe the feedback is good or maybe the feedback is bad,
but you have to do redesign or reinvent.
We have a phrase called all design is redesign.
if you realize, Whoa, I actually didn't define this problem right, then you go back to the step two.
So you have to go in this iterations
Eventually you will have some very nice inventions.
But when you read books and or you listen to some lectures, whatever,
after you finish in that you didn't understand it yet
you have to use it several times to really feel it.
Let me give you an example in one of the class at Stanford.
So basically this project is about how to get good incubators,
get more incubators for Nepal
At first that actually a lot of people
are just trying to say, well, just design it in California.
But then we say, Well, you have to gain empathy.
You need to go to the the real place.
If you have never been to Nepal, how can you design for that?
They actually fly to Nepal and they went to the mountains.
And to their surprise, they actually see a lot of these expensive incubators in these medical centers.
They actually are not lack of those machines,
but they don't know how to operate them.
Problem is defined wrong. They have to redefine the problem.
And then they went back to these villages and talk with those farmers.
We do need those things, but not in these medical centers.
We need in our home. We need the cheap ones.
So then they actually design a very cheap,
like kind of functioning as a baby incubator and had very good success.
And that's a good example.
The problem was defined wrong at first, and then they go into
This Design Thinking process and they find a way to redesign the problem
and then they solve their right problem.
The most interesting thing about AI & Robotics there is a few of them.
I think the first one is ChatGPT, because it's probably a surprise
for a lot of people that AI can talk with people
in that very natural way.
And also it can not only chat with you, it can also write code for you.
It seems like he knows a whole lot and it's smarter than a lot of people
and which surprised people
So and also it's going to change education for sure,
because now kids can use chatGPT to write essays and do homework.
So then teachers need to think about how to deal with that.
Actually, I just gave my student an assignment yesterday.
I asked a student to write an essay.
I said, Well, you know what? We just talked about ChatGPT in the class.
Now I'm going to give you an assignment to write an essay with the help of ChatGPT.
I'm not really asking you to not use it.
I ask you to use it.
And then after that class I will have short discussions
with each of you and tell me how you use it.
How do you feel it?
I think that technology advancement, you cannot trying to ignore it
or trying to avoid it, it's happening
and it's just like water.
You cannot block it. You have to go with it.
For me, I want to understand how ChatGPT is going to impact our education system
and I want to work with our students to understand that better.
So that's why I gave this homework for my students
I'm a big fan for Autobots, Transformers
I grew up with those cartoons, and I'm a big fan of it
Even now I'm still a big fan for Optimus Prime
And that really inspired me that
I always wanted to make cool robots when I was a little kid
I think most kids, they have a dream when they're young.
It's easier to inspire dream when someone's in the early ages
after people grow up, they kind of lose their interest,
they lose their dream, they don't know what to do.
It's actually critically important for these little minds to have dreams.
My ultimate goal is to find out what is the ideal education system for the future.
The education part is really important.
It has profound impact on the next generation's future,
and that's my ultimate goal.
5.0 / 5 (0 votes)